Story Quest and Activity Book

Quantum Kids Guardians of AI is a unique middle-grade book that offers an interactive educational experience on Artificial Intelligence (AI), targeting readers aged 8-15 and effectively incorporating the STEM concept for children.

It narrates the adventures of twelve-year-old Vivian “Viva” Everly, who has ADHD, and her diverse friends, as they explore the world of AI at Harmony Hill International School. The story revolves around unlocking a secret level in their favorite game, RoboRumble, leading them on a mission to become AI guardians, under the guidance of their mentors and a bionic hound.

The book incorporates AI concepts like neural networks, data ethics, and prompt engineering into the narrative, making them accessible and enjoyable. It addresses global issues such as bullying and climate change, positioning the book as a toolkit for young tech enthusiasts and problem solvers, inspiring them to envision a future where technology and humanity coexist.

This book is ideal for young AI enthusiasts and serves as a valuable educational resource for parents and teachers.

Amazon Author's Amazon Page

Excerpt from Quantum Kids Guardians of AI© Copyright 2023 Angela Radcliffe

Meet the Quantum Kids

Hey there! Vivian “Viva” Everly here, your resident whirlwind of energy and collector of curiosities. My friends say I've got a case of perpetual motion, probably thanks to my ADHD. But hey, it's just my spirit's way of doing cartwheels because I can't stand the thought of missing out on anything. You see, I've got this hunger for life—maybe I caught that bug from my mom, a modern-day alchemist, turning science into healing medicines.

Then there's my dad, my real-life hero who races against the clock in a blaze of sirens and flashing lights. He's a fireman, bringing stories of bravery home like other dads get takeout. Sure, he insists it's all in a day's work, but I've inherited his fiery spirit and emerald eyes that sparkle with the promise of new escapades.

I'm the finale in the trio of kids in our family, with an older brother and sister who've flown the nest—jetting off into their own stories—leaving me as the solo star in my parents' sky. And at twelve, with light chestnut hair more often in a wild bun than not, I'm quite the sight. I sport a constellation of freckles—or ‘spreckles,' as Mom calls them—that seem to play connect-the-dots every time I break into laughter, which is often.

My hands? They're rarely still, always itching to mold, draw, game, or dabble with gadgets. Creativity bubbles up in me like a geyser, sometimes spilling out in the form of homemade melodies or handcrafted jewelry. And, oops, I'm often the culprit behind the chaos of scattered beads and flour-dusted counters that drive my mom to her wits' end.

But every day, a new kind of magic happens as I step through the towering glass portals of Harmony Hill International School. It's a place as vibrant and diverse as the bustling markets of Marrakesh. This isn't your run-of-the-mill school; it's a microcosm of the world, nestled right in the heart of our sleepy Harmony Hill. The air buzzes with a zillion accents, from the musical lilt of Italian to the sing-song rhythm of Mandarin, and sometimes I pretend I'm a secret agent decoding an international mystery.

The lobby is a rainbow of flags, and I like to play a game where I try to remember each country they represent. I'm good at it now. The walls are covered in student artwork that looks like it could belong in a fancy museum and projects about everything from the Amazon rainforest to the pyramids of Egypt.

My classroom is a kaleidoscope of faces, each one from a different place. Our teacher, Mr. Kazumi, has this mega-watt smile and likes to say, “Diversity is our superpower!” He's from Japan, wears the coolest graphic tees, and tells us stories about Tokyo that make it sound like the future.

We don't just learn stuff like math and science. Our brains are on this epic gym routine, getting flexed and stretched with extra things like Global Studies and Sustainability. In Language class, we don't just learn French or Spanish; we dive into cultures, learning how to greet with a cheek kiss or a bow. It's awkward but awesome.

Recess is an international food fest. My lunchbox might have pasta today and sushi tomorrow. And while I munch on my samosas, my friend Aakash explains cricket to us—it's a sport that can last for DAYS, and I thought baseball was long!

The after-school clubs are a buffet of cool. There's the robotics club, where gears and code come together, and the Model United Nations, where we argue about world peace like we're grown-ups. I go to the drama club where we're rehearsing for ‘Shakespeare Around the World.' My best friend Gabriella is playing Juliet as if she were from Bolivia, and yes, there's a Saya dance involved.

But it's not just about fun and games. We've got this big Earth Day project, and my group is turning plastic bottles into a greenhouse. We're like eco-warriors with glue guns and too much glitter. It's messy, but that's how you know we're making a difference, right?

And okay, sometimes it's tough, like when you miss your friends who moved to another country or when homework in three languages makes your brain feel like it's in a blender. But I wouldn't trade it for anything. My international school is more than just a bunch of classrooms—it's a little planet.

Alyson Wilson

I am a marketing manager with 5 years of experience. I am passionate about helping businesses grow and reach their target audiences. I was born in Iowa and my hobbies include reading self-help and women's fiction, especially rom-com.  In my free time, I enjoy reading, spending time with my family and friends, and traveling (hopefully one day to Italy).

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The cover image was created by Stable Diffusion using prompt “beautiful hair woman, storybook illustration, phosphor display, cinematic lighting, satin dress –test –testp” 

Hence some of these above parameters seem strange at first glance for a picture, but actually if you understand prompt engineering they seem more and more essential to reach the right output.

With artificial intelligence being more and more present in our lives, prompt engineering is likely to be among the industries of the future.

In What Areas Will Be Prompt Engineering Essential?

Basically every area where Generative AI is present, including

• Image generation models (including Dall-E, Midjourney, Stable Diffusion)
• Text generation models (including ChatGPT, LaMDA, GPT-3 based apps)

If I want to simplify what prompt engineering is, than I would say the language how we communicate with generative AI models. Basically, tasks are given in the input as questions and descriptions.

A ChatGPT Sample

Let's say you read all the Harry Potter books, and you want to create your own fan story. But you don't have the time to write the story itself, only the story's  outline is in your head. In this case you simply go to ChatGPT (or similar) tools and write a prompt.

“Could you write me an angry conversation between Harry Potter and Hermione Granger, where Harry explains he is simply loves another girl Fleur Delacour. Write the conversation in J. K. Rowling style.”

And ChatGPT writes to conversation to you in seconds.

Harry: “Hermione, we need to talk.”

Hermione: “What is it, Harry? You look upset.”

Harry: “I am. I've been thinking about this for a while, and I need to tell you something. I love someone else, Hermione. I'm sorry.”

Hermione: “What? Harry, no! Who is it? Is it that Delacour girl? I knew you two were getting close, but I never thought you'd actually fall for her.”

Harry: “It's not just that I'm close with her, Hermione. I love her. I'm sorry if this hurts you, but I can't help how I feel.”

Hermione: “Harry, how could you do this to me? After everything we've been through together, you just throw it all away for some French girl? I can't believe you!”

Harry: “I know it's hard for you to understand, Hermione, but my feelings for Fleur are real. I never meant to hurt you, but I can't deny how I feel.”

Hermione: “I can't believe you, Harry. I thought we were friends, but I see now that I meant nothing to you. Fine, go and be with your Delacour girl. I never want to see you again.”

Harry: “Hermione, please don't say that. I never wanted to hurt you, but I can't change my feelings. I hope someday you can forgive me.”

Hermione: “I don't know if I can forgive you, Harry. Right now, all I feel is anger and betrayal. I need some time to process this.”

Creating a fictional story is that simple, and the limit is only your creativity.

Whether you're into AI prompts, or you're just fascinated by technology, you might have heard of concepts like chatGPT or Dall-E. These books won’t just tell you more about such things, but they’ll also introduce you to an industry that will most likely change the world.

With these thoughts in mind, here are some of the best books on AI prompts out there.

How To Create Your Own Prompt Library?

For this purpose we use the free PI Prompts Chrome Extension. This very simple tool could save and sync your prompts across your devices. It appears on the right hand side of ChatGPT and has a very intuitive interface. Find an illustrated guide how to use it.

What Are The Best Prompt Engineering Books?

The Art of Prompt Engineering with ChatGPT, by Nathan Hunter (2023)

This book is a comprehensive guide dedicated to providing an in-depth understanding of OpenAI's  ChatGPT and its applications. The Art of Prompt Engineering with ChatGPT includes content, which encompasses useful techniques, tools, and use cases for optimizing the utilization of ChatGPT.

The book also includes two new sections covering advanced prompt engineering (APE) and GPT-4. The APE section provides insights into how to co-create and format outputs for desired results. The GPT-4 section focuses on guiding users on leveraging the latest iteration of the AI, debunking past hype, and highlighting new improvements. The book remains an evolving resource, continually updated to keep pace with the growth and development of ChatGPT.

The book is organized into six parts, with each section tackling different aspects of ChatGPT and GPT-4 usage and applications.

A.I. Whisperer, by R.E. Tessier (2023)

After reading A.I. Whisperer: A Guide to Prompt Engineering Large Language Models, I think it's a good – but little bit short with it's 49 pages – read for anyone wanting to get more from AI and LLMs.

The book breaks down the details of prompt engineering in a clear and straightforward way. What stood out to me were the real-world examples. As experience with large language models accumulates, increasingly better books are being released. This is evident as the author demonstrates a profound understanding of how prompt engineering works.

The book gives a clear picture of why good prompt design matters. The tips and strategies shared were practical and easy to follow. It's clear that a lot of thought went into this guide. If you're interested in AI and how to interact with it better, this book is worth your time. I found it really useful and think others will too.

An Illustrated Guide to AI Prompt Mastery, by Jack Wylder (2022)

Computers changed the world, and once they made it to everyone's home, people started using them for different ideas. Art is one of them. Initially introduced in the 1970s, digital art has reached an unusual level lately.

Let me make it clear. Many movies you’re watching today are based on digital art, that’s how realistic it becomes.

Unless you live in a cave, you might have heard about NFTs too, which took the world over by storm last year. Everyone’s rushing to create their own artwork and hit the jackpot.

Anyone can do anything, and the author has a pretty good point of view claiming that this idea isn't too encouraging for new users. Where do you begin? How do you create an art? How do you make it look realistic?

Well, this book answers all these questions. It features impressive illustrations to make guidance much easier, and personally, I find it more straightforward as well. There are more styles explained, as well as a deeper insight into how AI prompts help computers interpret art.

Prompt Engineering, by Padmaraj Nidagundi (2022)

This book on AI prompts is not for everyone, but mostly for engineers, students, or those who want to pursue a career in this field.

The book takes you from scratch, that’s what I like the most about it. If you have no clue where to start, you’ll be given step by step instructions on how to improve yourself and eventually turn into a professional.

It’s well-structured into more chapters. For example, the first chapter is about the history of prompt engineering. By reaching the fifth chapter, you'll know transformation based on models and even API.

I know it sounds complicated to a complete newbie, but you'll go through all these steps one thing at a time.

The Art of Prompt Engineering with chatGPT, by Nathan Hunter (2023)

ChatGPT is rated the future of AI programming, and for some good reasons. It can automate many actions and complete the job almost perfectly.

I have heard about it before, but I never found it too useful. Maybe because I had no clue about its full potential. If you’re in the same situation, this book will change everything for you.

The best part is probably in the beginning, when you’ll learn the four core techniques to write quality prompts. Everything else is based on what you learn here.

There are use cases to help you understand how to apply such techniques, a bunch of exercises that will stimulate you to learn while working, illustrations, and accessible language.

More importantly, even if you’re not familiar with the jargon, everything is explained in a friendly tone, without too many technical terms.

ChatGPT Prompts Mastering, by Christian Brown (2023)

I recommend the previous title for a deep introduction to chatGPT and the possibility to build a foundation. Then, you need to push farther and the previous title can only help you to a limit.

This is when Christian Brown’s book on prompt engineering kicks in. It’s a more comprehensive guide that will teach you about clarity and effectiveness in chatGPT prompts.

It makes no difference how advanced you are, the book will make it fairly clear. But then, if I had read it without a foundation, I would've found it a bit difficult.

Sure, it goes into the principles of AI prompts and how they work, but I still believe you need just a bit of experience.

I think this book may help you to improve your skills and teach you how to use your imagination, but it also comes with numerous practical examples.

Mastering ChatGPT and Prompt Engineering, by Cuantum Technologies (2023)

This LLM prompt engineering book is a comprehensive guide presented by Cuantum Technologies that explores the realm of prompt engineering with state-of-the-art AI language models like GPT-3 and GPT-4. Tailored for both AI novices and experts, the book offers a step-by-step tutorial from the foundational knowledge of language models to sophisticated techniques and strategies. Readers will be acquainted with vital topics such as designing efficient prompts, addressing ethical concerns like bias and privacy, and utilizing AI-powered models for tasks like content generation, sentiment analysis, and more.

With numerous real-world applications and practical examples, the book emphasizes the significance of AI in reshaping various industries and underlines the need for ethical, transparent, and responsible AI deployments.

This guide serves as an essential tool for those eager to harness the vast potential of AI-powered language models in their projects and careers.

Story Engineering, by Larry Brooks (2011)

Prompt engineering is a different kettle of fish. It begins with the architecture of storytelling. AI is not all about design and technology, but also about telling a story.

In fact, I believe telling a story is its greatest potential.

You’ll learn to see the big picture and tell stories at a professional level. There are four elemental competencies explained, as well as two executional competencies.

I could go into smaller details, but I don’t want to ruin it for you.

This book is not just about training yourself, but also about discovering concepts that can change your vision on AI prompts.

Some Further Resources and Tools

• AI Scores · An AI directory collects prompt engineering tools
• Promptomania · An AI art prompt generation tool developed for Midjourney, but also good for DreamStudio, Stable Diffusion and CF Spark
• Lexica.art · A Stable Diffusion art gallery and search engine
• AI Prompt List · A ChatGPT prompt collection
• PromptHero · Shared AI prompts for visual art and gallery

Final Thoughts On AI Prompts

AI prompts, and prompt engineering may seem confusing and challenging, but I believe these books and tools can make it look much easier. It's quite important to take them in the right order, though. You don't want to start with something for professionals, but build a foundation first.

My personal opinion on this topic is that prompt engineering is rather an important job of the future. It's like the role of today's editors. AI isn't able to put together unique, creative things, but if we use the right prompts some very fascinating outcome could be produced. All we need is to find the right balance between the human effort and the capabilities of generative AI.

If you want to learn more about the technology behind, read the top GAN books or check out the most important AI books.

Joel Stafford

My profession is online marketing and development (10+ years experience), check my latest mobile app called Upcoming or my Chrome extensions for ChatGPT. But my real passion is reading books both fiction and non-fiction. I have several favorite authors like James Redfield or Daniel Keyes. If I read a book I always want to find the best part of it, every book has its unique value.

medium.com/@joelbooks

The post Top 8+ AI Prompt Engineering Books for 2024 – Learn Generative AI Prompts (Updated) appeared first on Joelbooks.

What Is Book Detective · AI Book Search?

Book Detective utilizes the power of artificial intelligence to search for books. It efficiently works even if you only remember fragmented details or if there are multiple book elements that you are looking for. Simply tell the tool what kind of book you are looking for.

Visit Book Detective

Let's consider a sample search: “I'm in the mood for a fantasy novel featuring dragons and epic romance with a strong female protagonist who is very clever.”

What databases are you using?

We utilize two primary data sources. First, we use OpenAI's LLM, which is arguably one of the largest AI models currently available. Second, we utilize our website's dataset, where authors have directly submitted excerpts and descriptions of their books or our editors wrote about the book in a form of a list article. We also opened the opportunity to include books directly to our AI dataset.

How good is our tool?

We did our first experiments with the alpha version of our tool called “What is that Book” several months ago.

We compared our tool with BookAbout's and Findyournextbook's search engine, which are described as using AI technology. The results speak for themselves.

After we moved our tool to ChatGPT interface in a form of a custom GPT called “Book Detective” we further improved the tool with the capability to find also freshly released or even upcoming book titles (these information isn't part of ChatGPT's knowledge base).

Here are some sample conversations with the beta version of Book Detective (Dec. 2023):

We did of course the Flowers for Algernon test with the new version too, check Book Detective's answer:

Can I submit my book to the Book Detective database to make it searchable?

You can directly submit fresh new or older books to our AI dataset.

Are there any limitations when using the beta search?

Book Detective is currently available for ChatGPT Plus members. With the release of GPT Store it will most likely available free for the public (at least we won't ask for any fees using it).

AI Technology Behind Book Detective

The current version of our tool is GPT-4 based and added several extra book specific dataset curated by our team. These custom dataset include more than 4,500 fresh book titles which will be extended hopefully with further 100,000 titles in the future. It's important to note that our goal is to include only quality works in this database, ensuring that our recommendations are both relevant and of high literary merit.

Large Language Models (LLMs) like GPT-4 are at the forefront of this technology. These models are trained on vast amounts of text data, enabling them to understand and generate human-like text. This capability makes them particularly well-suited for applications in book recommendations, where understanding nuances in literary themes, styles, and genres is crucial. The AI's ability to process and analyze a large volume of books, reviews, and metadata allows it to identify patterns and correlations that might be missed by human curators.

We are committed to addressing the challenges that come with using AI in book recommendations. This includes mitigating any biases in the dataset and ensuring a diverse and inclusive range of books are represented. We understand the importance of exposing readers to a wide array of voices and perspectives. We continuously works to enhance the tool in this regard.

AI Book Search Engine's Impact on Readers and the Publishing Industry

AI book searches aren't new and there are a lot of engines out there, but we think that choosing the right platform is essential. ChatGPT proved that users like the chat based user interface, where you can freely explain what you are really looking for. For this purpose we developed a kind personality for Book Detective (Emily), which I think is essential to visit her regularly.

What is our standpoint on generative AI?

We are aware of the recent events in the book world and the backlash from using AI technologies. A lot of people exploit these technologies in a wrong way. On one hand, we also see a bunch of low-quality, fully AI-generated self-published books on Amazon where the writer hasn't even bothered to read them before publishing. This is a completely unethical use case for AI.

We know that major AI companies use book datasets as inputs for their tools. The downside of generative AI is that it can effectively mimic someone's writing style, which poses a problem.

However, on the other hand, this technology has the potential to do beneficial things, such as

• performing highly relevant contextual searches, as is the case with our tool,
• it can help improving the quality of the sentences we draft as authors,
• it is capable to do quick edits, keeping the meaning of the content,
• it is capable to illustrate non-illustrated books with image generation models,
• the technology is capable to effectively summarize books,
• LLM models will enable people to interact with books in a non-linear way in the future.

So, generative AI embodies both good and evil, and we should approach this technology with caution. I'm generally very positive about the future. I think there are still a lot of hidden benefits of AI, but we need to mitigate the downsides and filter out the AI junk. If you feel to make a comment, feel free to submit your feedback in the contact form. If you are looking for more AI tools we use, check the For Authors section.

Joel Stafford

My profession is online marketing and development (10+ years experience), check my latest mobile app called Upcoming or my Chrome extensions for ChatGPT. But my real passion is reading books both fiction and non-fiction. I have several favorite authors like James Redfield or Daniel Keyes. If I read a book I always want to find the best part of it, every book has its unique value.

medium.com/@joelbooks

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In the rapidly evolving field of machine learning (or ML), staying updated with the latest books is crucial. As we step into 2024, the landscape of this field continues to expand, encompassing everything from basic algorithms to complex neural networks and AI ethics.

In my opinion, the books that stand out in this domain not only deal with technicalities but also make the complex world of AI accessible and engaging.

The World of Machine Learning

Machine learning is no longer a research field of AI, the result of this technology brought OpenAI's ChatGPT into life. Basically Machine Learning is the heart of almost every AI technology today.

From improving healthcare diagnostics to driving advancements in autonomous vehicles, machine learning is the invisible hand guiding much of the innovation we see. As Mark Cuban once said “I am telling you, the world’s first trillionaires are going to come from somebody who masters AI and all its derivatives, and applies it in ways we never thought of”.

As someone deeply interested in this field, I find that the best books are those that balance technical depth with real-world applications, providing insights into both.

What Are The Top Machine Learning Books?

Machine Learning for Imbalanced Data, by Kumar Abhishek and Dr. Mounir Abdelaziz (2023)

Machine Learning for Imbalanced Data is a pivotal read for anyone grappling with the common yet challenging issue of imbalanced datasets in machine learning. I find the authors' approach remarkably nuanced and comprehensive, particularly how he navigates through various techniques like sampling methods and cost-sensitive learning.

His use of modern machine learning frameworks like PyTorch and scikit-learn makes the book highly practical for today's applications. The authors' detailed explanations, enriched with illustrations and code samples, make the complex concepts accessible to every users like me.

The focus on deep learning techniques to address data imbalance is especially valuable. This book doesn't just list methods but it provides a roadmap for applying these techniques effectively. This is crucial for improving model performance in real-world scenarios. It's an essential guide for those seeking to refine their approach to machine learning with imbalanced data.

Designing Machine Learning Systems, by Chip Huyen (2022)

In this ML book Chip Huyen offers a holistic view of constructing ML systems that are reliable, scalable, and adaptable. What makes this book stand out for me is Huyen's ability to break down complex systems into understandable components. Her focus on the unique aspects of machine learning systems, like data dependency and stakeholder involvement, provides readers with a practical and comprehensive perspective.

The book uses real case studies and ample references, making it an invaluable resource for both learning and application. Huyen's iterative framework helps in understanding how to make design decisions that benefit the system as a whole. This book is ideal for those looking to develop ML systems that are not just technically sound but also aligned with changing environments and business needs.

Machine Learning System Design Interview, by Ali Aminian (2023)

This ML books is a crucial resource for those preparing for the challenging ML system design interviews. I appreciate how Aminian offers a clear, step-by-step strategy to tackle a wide array of ML system design questions. His insider perspective on what interviewers look for is invaluable. The book’s real-world examples, detailed solutions, and comprehensive diagrams greatly aid in understanding complex systems.

What's particularly beneficial is the book's comprehensive approach, covering everything from visual search systems to recommendation engines. For anyone aiming to excel in ML interviews or wanting a deeper understanding of ML system design, this book is a goldmine of information and strategies.

Machine Learning For Absolute Beginners, by O Theobald (2017)

O Theobald's beginner friendly book is an excellent starting point for those new to the field. This book stands out for its clear, concise explanations, making complex concepts accessible to beginners. Theobald's approach of using plain English and avoiding heavy technical jargon is particularly effective. The inclusion of practical elements like data scrubbing techniques and an introduction to Python makes it a practical guide for novices.

The updated edition includes topics like Cross Validation and Ensemble Modeling, which are crucial for a well-rounded understanding of machine learning. It's a fantastic resource for those who want to add ‘Machine Learning' to their skill set without being overwhelmed by technical complexities from the start.

50 Algorithms Every Programmer Should Know, by Imran Ahmad (2023)

50 Algorithms Every Programmer Should Know is a comprehensive guide digs into algorithms essential for modern programming, including those used in machine learning.

This book's strength lies in its broad coverage, from basic algorithms to advanced deep learning techniques. Ahmad's explanation of how to handle hidden biases in data and algorithm explainability is particularly insightful.

The book is a treasure trove for programmers at all levels, offering practical insights into selecting and using algorithms in real-world scenarios. Whether one is a beginner or an experienced programmer, this book provides valuable knowledge on a wide range of algorithms, making it a must-have in any programmer’s library.

Power BI Machine Learning and OpenAI, by Greg Beaumont (2023)

This is an innovative read that bridges the gap between business intelligence and advanced machine learning. The book is particularly compelling for its practical approach to integrating AI and ML techniques using OpenAI within Power BI.

Beaumont's hands-on examples and workshop-style data story make the content approachable and applicable. The book's focus on enhancing data visualizations and building SaaS Power BI ML models provides valuable insights for BI professionals looking to incorporate advanced analytics into their work.

It's an essential read for those looking to leverage the full potential of Power BI with AI and ML integrations.

Machine Learning with PyTorch and Scikit-Learn, by Sebastian Raschka (2022)

Machine Learning with PyTorch and Scikit-Learn is a comprehensive guide that intertwines theory and practical application in machine and deep learning using PyTorch's framework.

The book covers key aspects like PyTorch fundamentals, transformers, XGBoost, and graph neural networks. It's designed as both a tutorial for beginners and a reference for seasoned practitioners, filled with clear explanations, and examples.

The focus is on teaching the principles behind model building, covering topics from machine learning classifiers to sentiment analysis and regression analysis. This book is ideal for Python developers and data scientists who have a grasp of Python basics and interested in deep learning with PyTorch. Before exploring this ML book, it is advisable to have a strong foundation in calculus and linear algebra.

Final Thoughts on Machine Learning Books

Reflecting on these machine learning books, it's clear that the field is not just about algorithms anymore. It's about how we apply these tools to real-world problems and the ethical considerations that come with them.

These books stand out because they don't just teach the mechanics of machine learning; they inspire readers to think critically about the implications and applications of this powerful technology.

In a world increasingly driven by AI, understanding machine learning is no longer optional but essential. The insights and knowledge gained from these books will undoubtedly be invaluable for anyone keen to navigate and contribute to the future of technology and society.

If you are looking for more AI resources, check out our AI book selection.

Joel Stafford

My profession is online marketing and development (10+ years experience), check my latest mobile app called Upcoming or my Chrome extensions for ChatGPT. But my real passion is reading books both fiction and non-fiction. I have several favorite authors like James Redfield or Daniel Keyes. If I read a book I always want to find the best part of it, every book has its unique value.

medium.com/@joelbooks

The post Top 6+ Machine Learning Books For 2024 appeared first on Joelbooks.

Artificial intelligence (AI) is one of the most fascinating and rapidly advancing fields in computer science. If you want to learn about AI, this is the right place to start.

What Are The Most Important Fields of Artificial Intelligence?

Artificial intelligence is a vast and growing field with many subfields. Some of the most important fields of AI include

• Machine learning (ML)
• Deep Learning
• Reinforcement Learning
• Generative Adversarial Networks (GAN)
• Transformer models
• Large Language Models (LLM)
• Prompt Engineering (PE)
• Natural Language Processing (NLP)
• Computer vision
• Neural Networks
• Speech processing
• MLOps
• Edge AI
• Robotic Process Automation (RPA)
• AI ethics
• Hyperautomation

Some of these fields connects to each other, or could be considered as subfields like GANs were definitely a subcategory of Machine Learning. But in terms of usage some these fields emerged and gained more notability in the recent years.

Will We Benefit From Artificial Intelligence?

Only if we are prepared and open minded. A small percentage of humanity still doesn't use smartphones, which means there will be always people who will simply deny new technologies including artificial intelligence.

Many experts believe that AI will soon start to have a positive impact on humans in various fields of life and work. In what fields will AI empower us?

• Personal AIs or AI agents – in 2-6 years – AI will help to perform small or repetitive tasks, searches, make notes all by itself.
• Robots (humanoid) – in 4-15 years – AI will be physically present in our lives, by making our everyday easier and more productive.
• Personalization in education – in 10-15 years – AI can personalized learning experiences for students and help teachers create more effective lesson plans.
• Healthcare and quicker diagnoses – in 5-10 years – AI can help doctors diagnose diseases and plan treatments more accurately. It can also help patients manage their health conditions better.
• Transportation and traffic – in 5-10 years – AI can help reduce traffic congestion and make transportation services more efficient.

All of the above points are near future, but isn't AI here and now? Well, artificial intelligence has been around for quite some time. Some real life artificial intelligence examples that are available now:

• Dall·E 3, Midjourney, Stable Diffusion image generator projects (OpenAI, David Holz) – creating visual images based on textual input
• GPT-4 and other language models (OpenAI, Claude, Google Bard, Anthrophic, Amazon Q and Meta) – using short prompts (headlines) to create paragraphs from text
• Tesla and self-driving cars (Tesla) – while self-driving cars are not 100%, these cars are here and now and we can test their capabilities, several experts says that full self-driving cars will be available in 3-6 years
• Specialized chatbots and call answering bots – if we call a help center almost 90% of chance that we will speak to an AI, these agents try to solve our problems
• Text to Voice, voiceover tools (Murf, Speechify, Synthesis etc.) – the quality of output voice have been dramatically increased in case of these tools in the recent years thanks to machine learning

The recent advances in machine learning, generative AI and transformer models have made it one of the most widely researched fields of AI. The potential for machine learning to revolutionize so many industries has drawn researchers from all over the world to this field.

NON-FICTION AI BOOKS

A Brief History of Artificial Intelligence, by Samuel S. Wade

A Brief History of Artificial Intelligence offers a comprehensive exploration of AI's evolution, from its philosophical roots to the cutting-edge advancements redefining our present and future. What makes this book particularly fascinating is its ability to weave together various aspects of AI's development and impact.

The book uniquely highlights how influential figures have played key roles in the evolution of AI. For instance, it acknowledges the emerging prominence of figures like Sam Altman, who is becoming a pivotal figure in AI's current landscape. This focus on individuals who have driven AI forward offers a personal and humanized view of the technology.

The book's strength lies in its storytelling approach, making complex topics understandable and interesting for both enthusiasts and those new to the field of AI. The comprehensive overview of contemporary issues shaping the AI landscape is both educational and thought-provoking, making it a must-read for anyone interested in understanding the multifaceted world of artificial intelligence.

Life 3.0, by Max Tegmark

Life 3.0 is one of the AI books meant to challenge our thinking about AI, intelligence, and humanity’s future. Compared to other technologies, AI has significant potential to change the future. But what impacts will AI have on war, crime, justice, employment, and society?

This book talks about how we should use automation but not leave people without purpose or income and what we need to tell our kids about AI. It also sheds light on how we can make AI systems of the future carry out the required tasks without malfunctions, hacks, and crashes.

Is it possible that machines will outsmart us, or will AI be an excellent addition to flourishing life with immense power?

The Age of AI, by Henry A Kissinger

The Age of AI considers how AI will alter our political, societal, and knowledge relationships. This book is the roadmap we need for current times and the future.

An AI figured out how to win chess through moves even chess grandmasters had never imagined. A different AI then analyzed molecular properties scientists couldn’t make out and discovered a new antibiotic.

Currently, jets powered with AI are beating experienced pilots in dogfights simulations. AI is an everyday matter employed in different fields like medicine and education. You only need to search or stream to carry out various tasks. That’s how it has transformed how we experience reality.

Competing in the Age of AI, by Marco Iansiti & Karim R Lakhani

The organizations built on AI operate differently. They have redefined their architecture for creating, capturing, sharing, and delivering value.

AI gets rid of traditional constraints on scope, scale, and learning that have resulted in restricted business growth. Processes driven by AI are more scalable than those fueled by conventional methods. They give companies more scope and are drivers of accuracy, complexity, and sophistication.

Marco and Karim highlight how AI reshapes competition and forces conventional companies to recreate their operation models. They also explore opportunities and risks digital firms create and the challenges and responsibilities leaders need to act on.

AI Superpowers, by Kai-Fu Lee

Written by a worldwide respected expert on AI, this book discusses how China has been up against the US regarding AI matters. AI Superpowers is more of an argument that unprecedented AI developments will soon cause dramatic changes. Changes that none of us ever anticipated.

Lee says that the US-Sino AI competition is about to get heated. Still, China and the US need to accept and, most importantly, embrace technological power's essential responsibilities on blue and white-collar jobs.

Lee says that basic income may not be the solution and gives descriptions of jobs that may be affected and in what period. He also talks about jobs that AI may enhance and solutions to the changes.

Our Final Invention, by James Barrat

This book explores the perils advanced AI may bring forth. James uses profiles of groundbreaking AI systems, industry watchdogs, and tech visionaries to drive the message.

Up to now, no rival has come up against human intelligence. But can we coexist with machines with intelligence that dwarfs our own or even gets the chance? AI could match human intelligence in less than a decade and then overpower it.

Government agencies and corporations worldwide are pouring a lot of money to achieve AI’s Holy Grail.

Scientists say that once AI attains human-level intelligence, it may have survival drives like ours.

We might have to compete with a more powerful, cunning, and alien rival than we ever imagined.

Human Compatible, by Stuart Russell

Artificial intelligence is an upcoming tidal wave threatening employment and human relationships. But more significantly, it also threatens civilization. Human and machine conflicts seem inevitable, and their outcomes are now more predictable.

But Stuart argues that we can avoid this scenario. Rethinking artificial intelligence from the ground up is what researchers need to do at the moment.

We need to rebuild AI on the principle that machines shouldn’t be sure about what they need to satisfy according to human preferences. They would be altruistic, humble, and committed to pursuing human objectives and not their own. The new way would also create provably beneficial and deferential machines.

Together, by Zoltan Andrejkovics

The author is a great thinker in the field of AI and economics from Europe.

Together is a book of answers for real world questions. The author initially wanted to answer 20 questions formed from the most prominent questions around artificial intelligence.

The first part of the questions like “What AI is good and bad at?” try to open up the current state of Ai for readers. There are a lot of tasks where AI simply fails against humans, however there are several fields especially ML where AI is more cost-effective thanks to core it's architecture.

In the second part of book the author tries to give a future insight of the AI society, which is why he titled the book as “Together”. Personally I enjoyed this part more with such a honest and controversial questions like “Will we marry robots?”. This isn't really a question of today, but who knows what the future will look like?

This book will keep you updated on the rapidly evolving AI technology. Recommended for AI newcomers and non-professionals.

Artificial Intelligence, by Melanie Mitchell

How good are artificial intelligence programs? How do they function, and what causes them to fail? To what extent will they become humanlike, and how worried should we be about them overpowering us?

Melanie describes AI programs’ cutting edge, human inventors, dominant AI methods, and the historical thought processes that led to their recent success. She interweaves science stories and the ones behind them to offer readers a captivating, humorous, and clear-sighted book.

This book will guide you to understand better modern-day artificial intelligence, its quest toward human-level intelligence, and futuristic impacts- the hopes and fears.

Deep Medicine, by Eric Topol

AI can better the medical field. It can revolutionize patient care and empower physicians.

Medicine has become disastrous and inhuman to some extent. Doctor-patient relationships, which are the foundation of medicine, have been broken. Physicians are overwhelmed or distracted, not truly connecting with their patients. These factors lead to misdiagnoses and errors.

In this book, Eric shows readers how AI can help. With AI, major medical transformations can take place. It can change how doctors work- handling diagnosis and treatment, reducing costs and human mortality. AI can free doctors from tasks that tamper with human connection resulting in genuine healing.

Analytics of Life, by Mery Damlapinar

Analytics of life explores the different stages of AI to the layperson, its powerful benefits, and risks. It also provides a method to analyze machine learning and big data to enable users to maximize the new realm of AI for businesses and everyday jobs.

There are excellent details about the differences between AI, data analytics, and machine learning. Readers also get to find out the jobs AI is likely to replace and which ones are safe from the tremendous revolution of data analytics. Mery also suggests different ways for data analytics applications.

This book is ideal for business professionals, strategists, consultants, entrepreneurs, educators, and anyone interested in the future.

The Future of Leadership, by Brigette Tasha Hyacinth

Get a comprehensive view of what’s happening in the AI world and emerging technologies and see how we can navigate this enormous technology.

We must candidly answer some questions to avoid painting a false picture about AI.

Could AI be the greatest threat to existence? Will it take away our jobs? Is privacy not a thing anymore? Will it make us happier?

We now live in one of the most crucial and pivotal points in history. AI is about to affect every society. It is time for AI distinction. Individuals from diversified backgrounds and disciplines need to join this AI discussion. All our futures are at stake, and we need leaders to put us first and stand on integrity.

The Algorithmic Leader, by Mike Walsh

Robots replacing us is not the most significant threat to humankind. Our reluctance for reinvention is. We live in a world where AI runs things, and it is about to transform every aspect of life. While we live in fear of what AI can do, machine intelligence raises an essential question; what is the real human intelligence potential in the 21^st century?

Walsh offers a guide on what it will take to succeed in this AI era. He highlights ideas such as digital ethics, machine learning, probabilistic thinking, de-centralized organization, and disruptive innovation. These are the foundations of new decision-making approaches, problem-solving, and leadership, and they are vital for our survival.

Rebooting AI, by Gary Marcus & Ernest David

There is a lot of hype that surrounds AI. However, coming up with intelligence that exceeds or rivals human levels is more intricate than we have been made to believe.

According to Gary and Ernest, a computer beating human is not a complete signal that we are on our way to super-intelligent machines and fully autonomous cars. Significant achievements have occurred in closed systems, and the approaches we know are too narrow for achieving genuine intelligence.

The real world is open-ended and highly complex. But how do we bridge this gap, and what impacts should we be ready to face afterward?

Superintelligence, by Nick Bostrom

Superintelligence is a foundation for making out humanity’s future and intelligent life. As humans, we have a brain capable of making out things in ways other animals can’t. It is this distinction that makes us dominant.

If machine brains transcend human brains intelligence-wise, there is a possibility that this superintelligence will become too powerful for us to control.  Our fate would be dependent on the machines' superintelligence actions.

Can we develop a seed AI for initial engineering conditions that make us survive the explosion of intelligence? How can we attain controlled detonation?

FICTION AI BOOKS

Sentience, by Courtney Hunter

Leo Knox runs from her violent past and then participates in an AlgorithmOS scientific experiment. Soon, she discovers that this is a test to measure how AI blends in with humanity.

Leo and other twenty-three enter Eden where the test is to be performed. Even though everyone appears human, four people are advanced humanoid AI forms. Members need to identify the AI. The four are unaware of their nature, and they will cause everyone to question their known reality.

The experiment will be packed with robotic obstacles meant to elicit human emotion and response. It will be chaotic, adventurous, and full of lies. Who can Leo trust?

AI Apocalypse, by P M Woolford

AI Apocalypse is one must-read novel. In 2025, a magnetic pole flips, triggering a shift in the planet’s crust and enormous tsunamis. The Mississippi grows large, Florida disappears, and River Thames causes inland floods.

Meanwhile, Saudis deliver food help using robots created using smuggled United States technology. Major capitals have fighting machines, and the Saudis seize Washington.

Two decades later, a power struggle erupts between Kaleb Al Hakim and Qatari robot Aisha. But then, a self-programming Artificial Intelligence, the Singularity surfaces. It is in cahoots with a Saudi army General who accuses Aisha of a scheme to destroy the human race. Can he control the Singularity, or will the growing and powerful AI control him?

I, Robot, by Isaac Asimov

This book has scientifically factual stories about mind-reading robots, robots that went mad, and humorous robots. It also depicts robotic politicians and robots that can run the world in secret.

How can we live with machines that may become more intelligent than us over time but not clash the inventions?

Three Robotics Laws are highlighted; a robot may not cause a human being harm or injury through inaction, a robot must execute tasks as per the orders humans give it except if the demands conflict with the previous law, and a robot must guard its existence as long as that doesn’t conflict with the other two laws.

Robotics Through Science Fiction, by Robin R. Murphy

This book is one of the best artificial intelligence books for those looking for a robotics introduction.

Robin uses commentary and six science fiction stories to illustrate primary AI principles and address two highly debated topics- programming intelligent robots and the limits of autonomous robots. This is an excellent way to grasp the discussed concepts and understand them better.

These stories cover behavior-based robotics, telepresence, machine learning, human-robot interaction, deliberation, and ethics. Every story offers a thorough discussion of unique implications, and readers can consider the accounts as a collection of fanciful and practical insights for case studies.

Warbot 1.0, by Brian M. Michelson

In 2033 China’s neighbors have chafed at its substantial efforts for domination. Taiwan teeters are almost declaring independence. The newly-elected Philippines president then attempts to eliminate Chinese military forces only to bring forth a problem.

China sets up a high-tech penal expedition against him. According to China, this will be a lesson to other bordering nations.

The antagonism spreads and even draws in the US. AI weaponization, robotics, cyber, big data, and media will alter how this dispute is fought, but the war’s nature will remain intact. It is a complicated human will contest that is brutal and deadly.

Final Thoughts about Book on Artificial Intelligence

There is no doubt that artificial intelligence (AI) is one of the most rapidly advancing technologies in the world today. And as this technology continues to evolve, so too does our understanding of it.

Since the very first edition of Peter Norvig and Stuart Russell's book Artificial Intelligence: A Modern Approach a lot of time have been passed. AI systems today are very different from those described in the book. The field of AI has evolved a lot in the past few years.

Some of the most significant changes have been made to the way AI systems are designed. In the early days of AI, many systems were designed by hand. Today, however, most AI systems connect to a practical application. This change has made it possible to create much more complex and powerful AI systems.

Another major change has been the way AI system are used. In the past, many AI systems were designed for specific tasks such as playing chess or solving mathematical problems. Now, AI systems are being used for a much wider range of tasks such as driving cars and providing customer service.

If you want to dig a little bit deeper into AI, check our selection on the top Artificial Intelligence ethics books and the best prompt engineering books.

Joel Stafford

My profession is online marketing and development (10+ years experience), check my latest mobile app called Upcoming or my Chrome extensions for ChatGPT. But my real passion is reading books both fiction and non-fiction. I have several favorite authors like James Redfield or Daniel Keyes. If I read a book I always want to find the best part of it, every book has its unique value.

medium.com/@joelbooks

The post Top 18+ Artificial Intelligence Books (2023) Fiction and Non-fiction AI Books appeared first on Joelbooks.

Algorithmic trading (or Algo trading) involves using automated systems for order execution through pre-programmed trade directives to account for variables like prices, time, and volume. The main reason for using algorithmic trading is leveraging computer systems, resources, and speed, and not humans for trade in a predefined market. As a result, trading generates profits at a faster rate and frequency, which would otherwise be unattainable by a human trader.

Why Is Algo Trading Is Important Even For Retail Traders?

Algorithmic trading accounts for roughly 60-75 percent of regular trading volume (source: Select USA). Which means six out of ten transactions performed by bots and automatic agents. In global markets next to professional traders you couldn't compete with fast reaction, huge changes could happen in a matter of seconds.

At the moment we don't even speaking about traders on market but more likely about competing strategies. Algorithms are quick enough to calculate the probabilities, potential outcomes and make the necessary trades in seconds.

Also one of the most important advantage of algo trading is that it eliminates the emotional impact of trading. Algorithms have no feelings and they will make the necessary steps even when a human would hesitate in a certain situation.

Algorithmic trading encompasses essential but variable aspects that you must perfect to benefit fully. It is a trendy aspect of trade, so many authors have written algorithmic trading books. These books offer a guide to those unfamiliar with the concept and give experienced users insights on bettering the idea. This article will look at some of the best books about algorithmic trading you need to read this year.

What Are The Essential Algorithmic Trading Books?

Trading at the Speed of Light, by Donald MacKenzie (2023)

In Trading at the Speed of Light, Donald MacKenzie examines the impact of high-frequency trading (HFT) on global financial markets. He explains how HFT, which involves the use of algorithms to execute high volumes of transactions at lightning-fast speeds, evolved from the disreputable margins of the US financial system in the 1990s to become a ubiquitous feature of financial markets around the world. MacKenzie shows how HFT has brought new efficiency to trading, but has also led to an unrelenting race for speed, in which HFT algorithms compete against one another.

MacKenzie draws from over 300 interviews with high-frequency traders, technology providers, exchange staff, regulators, and others to provide a unique perspective on the inner workings of HFT. He highlights how the material, political, and economic characteristics of HFT have influenced global finance and what its future could look like. He explores how big banks have responded to the challenge posed by HFT firms and how exchanges sometimes favor certain types of algorithms over others. The book offers a remarkable look at how growth, technology, and politics have altered the landscape of financial markets and is a must-read for anyone interested in understanding the impact of HFT on finance.

All-in On AI, by Thomas H. Davenport and Nitin Mittal (2023)

All-In on AI discusses how top companies use artificial intelligence for a competitive edge. This is particularly relevant for algorithmic trading, where fast and accurate decisions based on large data sets are critical. Algorithmic traders can benefit from understanding how these companies integrate AI, offering potential improvements to trading strategies, prediction accuracy, and returns.

The book also touches on AI's role in business models and customer relationships, providing insights that can be applied to market analysis and risk management. For traders looking to improve their algorithms with AI, this book could be a valuable resource.

Algorithmic Trading Strategies, by Scotty Ratford (2022)

If you are ambitious enough and want to find out how you can make money using simple and effective algorithmic strategies, then this book is for you. It features income-generating trading strategies applicable for Forex, Stocks, and Crypto. It doesn’t matter what the trading position in the market is.

With a step-by-step guide, you will discover how you can create an individual algorithmic trading strategy as well as establish an automated bot for everyday trades despite all the other things you have to take care of.

The detailed guide has methods for creating and running the strategy without the need for coding or money-related expenditures. It also has secret indicators about TradingView to help you significantly increase profits that no one else is aware of. There are risk management strategies that are employed by experienced traders that are highlighted to guide you on how to maintain a profitable trade.

Algo Trading Cheat Codes, by Kevin J Davey (2021)

 Algo Trading Cheat Codes agrees that Algo trading can be challenging but also raises the question of whether it really has to be. The author's answer to that question is “No,” as long as you follow the appropriate approach and are advised accordingly.

Through the book, Kevin offers readers the results of extensive research with many strategies backtests. He also highlights more than fifty “cheat codes” for trading. These are valuable tips that traders can use to come up with algo strategies with more confidence and at a faster rate.

The book answers questions about easing algo trading when it seems more challenging and if there is a significant reward for risking the trade management ratio. It also lets readers know the ultimate and most amenable bar size for the creation of algo strategies. You will find out if exiting is a viable option, especially after several profitable and unprofitable closes, the best exit strategy, the best mean reversion techniques, and how to protect your algos during uncertainties.

Algorithmic Trading Systems, by David Bean

This book evaluates different and advanced trading strategies available for markets in the future and analyzes how traders can utilize them in markets. As you read along, you will learn how to conduct trade filtering and be guided about several exit strategies. Additionally, you will also be shown how to use coding logic. The book will be helpful if you are looking to establish a platform in which you entirely handle coding individually.

 Algorithmic Trading Systems is a book that is ideal for both novice and experienced algorithmic traders. The content in the book applies immensely to both parties. The book offers detailed information applicable to all levels of trading strategies. What’s more, it is a significant development of all that pertains to algorithmic trading- philosophical, psychological, and statistical. If you don’t have a lot of time in your hands, you will love this book because it straightforwardly presents information and gives details.

The Ultimate Algorithmic Trading System Toolbox, by George Pruitt

You need this book if you are looking to gain algorithmic trade knowledge and maximize trade seamlessly. The algorithmic trade programming, evaluation, and implementation technologies keep evolving, but this book helps you. You can learn a lot about the assessment of trading systems and discover their strengths and defects through it. You will learn how to develop your trading solution and be shown how to employ coding to establish a trading solution effectively.

The book’s primary focus is the popular programming tools required to create and backtest the

technical aspects of trading systems. It shows that you can exploit the technology even without a computer science degree to make viable systems at a lower cost.

It features a broad spectrum of technology offerings and has advice on acclaimed trading software packages. There are detailed mathematical examples and explanations to grasp the highlighted concepts easily. The extensive and well-explained sample codes will draw you even more.

Algorithmic Trading, by Investors Press

This is a valuable book for lay investors and those already well-versed with algorithmic trading. It demystifies the tasks that day traders, hedge funds, and brokerages carry out. You will find a simple yet detailed explanation relating to how algorithmic trading comes to be. You are also guided on the exact steps needed to develop and execute a trading algorithm. Additionally, you will be equipped about where to source consistent trading ideas and be helped to discover unhelpful ones. Learn how to trade without a coding background before going live to begin execution.

The book offers vital points about risk management straightforwardly for easy understanding. Get to know the essential tool for risk management that applies in every trade. You will also learn about the four prevalent pitfalls that traders make and how you can watch out for them. There are valuable resources to help you further your algorithmic trading knowledge and skills.

Machine Learning for Algorithmic Trading, by Stefan Jansen

Algorithmic trading can benefit significantly from machine learning through the added design value and trading strategies. This book covers various data sources and a development process strategy with various machine learning solutions. It highlights different trading challenges to provide a strategic perspective and comprehensive understanding with practical tools for building on Machine Learning.

This book is simply about how to leverage machine learning to enable you to come up with trade designs and backtest automated strategies. You will learn how to do that using backtrader, Gensim, SpaCy, pandas, pyfolio, Zipline, and more. It is ideal for data analysts, data scientists, Python developers, investment analysts, and portfolio managers to get a hands-on machine learning experience.

You will learn how to use the market, image, and text data and employ machine learning to solve upcoming investment and trade challenges. You will also learn to develop a pairs trading strategy as determined by ETFs and US equity cointegration.

Algorithmic Trading, by Jeffrey M Bacidore

This book delivers all essential aspects that pertain to algorithmic trading. It offers a practical introduction for those unfamiliar with the concept and makes it executable for the modern world.

The algorithmic landscape today is intensely technical, variable, and at the same time intimidating. However, Jeffrey helps readers by uniquely merging a theoretical knowledge with a practical guide based on his long-time experience in leading brokerages,  NYSE, and a quant fund. He explains how to build and use algos using various contexts to provide an extraordinary and accessible framework for evaluating algo choices.

Through the book, you will find out if dark pools are useful, when to opt for a VWAP algo, and the functioning of portfolio algos. Additionally, you will also see how necessary routing is, compared to timing and child order placements and how you can measure the execution efficiency across different choices. Algorithm Trading is a guide that addresses the questions every algorithmic execution trader or portfolio manager keeps asking.

Learn Algorithmic Trading, by Sebastien Donadio & Sourav Ghosh

 Learn Algorithmic Trading is a book that helps you make out algorithmic trading fundamentals and effectively apply algorithms to actual market data. It offers a real-world strategy analysis. All this information is provided alongside detailed examples applicable in financial markets. You will learn how to develop your robots for algorithmic trading to avoid the need for human intervention.

Additionally, the book provides you with vital information about the application of machine learning for algorithmic trade signals with highlighted essential Python strategies. Readers are offered insights about building, visualizing, and analyzing trade strategies as determined by economic releases, mean reversion, trends, and more.

To help guide you about how you can improve the performance of your bots, the book contains information about building a back tester for running simulated trade strategies. What’s more, you will be helped to discover the deployment and incorporation of trading strategies in an actual market for improved and maintained profitability.

Future of Algo Trading

As machine learning and artificial intelligence become more prevalent, retail traders are beginning to wonder if they will be left behind. However, AI-powered bots are not the ultimate tool of professional traders. Retail traders could also utilize AI to give them an edge in the market. With AI tools like SmithBot (crypto trading), Outprfrm (AI trading advice), even retail traders could get almost instant ideas what they need to do or even tools to perform the actions automatically.

Machine learning is a subset of artificial intelligence that deals with the construction and study of algorithms that can learn from and make predictions on data. Professional traders have been using AI for years to help them make decisions about when to buy and sell stocks. However, retail traders have largely been left out of the loop.

But that doesn't mean that retail traders can't benefit from AI. There are a number of ways that retail traders can utilize AI to their advantage. For example, they can use AI-powered bots to help them trade more effectively.

Final Thoughts on Algo Trading Books

Algorithmic trading can be challenging for some. It entails the use of complex formulas and also employs mathematical models for trade plan creation alongside human oversight. That is why anyone who is actively involved or plans to get involved must be fully aware of how algorithmic trade works for it to be effective. Apart from learning as you practice or from others, the algorithmic trading books highlighted above are excellent choices to enhance your knowledge.

If you want to learn more about the practical side of trading, check out our selected Forex trading books.

Joel Stafford

My profession is online marketing and development (10+ years experience), check my latest mobile app called Upcoming or my Chrome extensions for ChatGPT. But my real passion is reading books both fiction and non-fiction. I have several favorite authors like James Redfield or Daniel Keyes. If I read a book I always want to find the best part of it, every book has its unique value.

medium.com/@joelbooks

The post Top 8+ Algorithmic Trading Books (2023) Outsmart Your Competition appeared first on Joelbooks.

Balancing Humanity and Technology: A Collection of Essays

Exploring the multifaceted equation between humanity and technology, The Future Equation features essays that encourage contemplation on the impacts of emerging innovations, from AI to VR and beyond, challenging readers to ponder ethical dilemmas and consciously construct the future we aspire to create.

The Future Equation: Balancing Humanity and Technology is a book that breaks down the relationship between technology and society. It offers essays discussing the influence of innovations such as Artificial Intelligence (AI) and Virtual Reality (VR). But it's not just about the tech.

The book raises ethical questions about AI, looks at how VR affects mental health and the way we work, and touches on big topics like data privacy and social media's role in democracy.

It encourages readers to think about our connection with technology and the challenges that come with rapid advancements. The content pushes readers to reflect and question our shared future in a tech-heavy world.

Amazon Author's Amazon Page

Joel Stafford

My profession is online marketing and development (10+ years experience), check my latest mobile app called Upcoming or my Chrome extensions for ChatGPT. But my real passion is reading books both fiction and non-fiction. I have several favorite authors like James Redfield or Daniel Keyes. If I read a book I always want to find the best part of it, every book has its unique value.

medium.com/@joelbooks

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The Art of Making Money with AI Conversations (GPT-4 Ready)

The Essential Guide for Entrepreneurs, Marketers, and AI Enthusiasts Looking To Tap Into the Rapidly Growing World of AI – Uncover the Future-Proof Way to Maximize Technology and Bring In Insane Profit!
Every single day, technology is slowly changing the way the world works — from the latest models of self-driving cars, to the integration of A.I into everyday life.

Don’t get left behind.

Discover the secrets behind leveraging the power of ChatGPT to unlock new revenue streams and drive business growth. Packed with practical strategies, real-life case studies, and expert insights, this book is your roadmap to transforming ordinary chatbot interactions into profitable ventures!

Step into the world of AI conversations as you learn how to design, develop, and deploy intelligent automated campaigns that captivate audiences and generate tangible results.

Unleash your creativity as you master the art of crafting engaging, personalized marketing messages that deliver value to users and keep them coming back for more.

Inside ChatGPT Profits Unleashed, you'll explore:

• Strategies for identifying profitable business opportunities: Be the first to know about emerging trends. With real-life examples of people who made it big with ChatGPT.
• Tips for fine-tuning ChatGPT to boost efficiency: Get comfortable with the platform in no time and optimize your workspace.
• Proven tactics to maximize your earnings with ChatGPT: Leverage your business by generating unique, engaging content in the click of a button.
• How to stay on top of A.I: Gain a better understanding of possible future developments and trends in the A.I industry.
• And more!

Whether you're a business owner seeking innovative ways to boost revenue or a developer interested in the intersection of AI and commerce, this book is here to equip you with the knowledge and tools to harness the power of AI conversations and turn them into a profitable enterprise.

Prepare to unlock the untapped potential of ChatGPT and embark on an exciting journey to AI-driven success!

Amazon Author's Amazon Page

Excerpt from ChatGPT Profits Unleashed © Copyright 2023 Harvey Ford

CHAPTER 1
Understanding Chatgpt And Its Capabilities

ChatGPT is a natural language processing tool that enables human-like conversations and other functionalities. Developed by OpenAI, ChatGPT allows users to ask questions, receive answers, and obtain assistance in tasks such as email composition, essay writing, and coding. It has gained significant attention and has been referred to as an internet-level disruption due to its advanced capabilities.

OpenAI, an AI and research company, created ChatGPT to advance natural language processing and conversation models. The development of ChatGPT involved training a language model using a technique called Generative Pre-trained Transformer (GPT), specifically from the GPT-4 series. The model was fine-tuned through supervised learning and reinforcement learning from human feedback (RLHF). AI trainers engaged in conversations, playing the roles of both users and AI assistants, to provide training data for ChatGPT.

ChatGPT operates as an online chatbot accessible through the website chat.openai.com. Users can create an OpenAI account and start interacting with ChatGPT by asking questions or seeking assistance. During its research phase, ChatGPT is available for free, allowing users to ask as many questions as they desire. OpenAI also introduced a paid subscription plan called ChatGPT Plus, which provides additional benefits such as general access even during peak times, faster response times, and access to the internet through plugins.

The language model architecture of ChatGPT, based on the GPT-4 series, enables it to understand and generate human-like text responses. However, with a subscription to ChatGPT Plus, users gain access to the more advanced GPT-4 model, OpenAI's latest iteration. GPT-4 introduces multimodal capabilities, allowing users to input text and images and receive text-based responses. This feature proves helpful in analyzing visual data, such as graphs or charts, uploaded by users.

Given its proficiency in understanding and generating human-like text, ChatGPT can be used for language translation. Users can input text in one language and request a translation into another. While ChatGPT's translation capabilities are impressive, they may not match the accuracy and fluency of dedicated translation systems. However, it can be a convenient tool for obtaining rough translations or grasping the general meaning of a text.

ChatGPT can condense lengthy texts into concise summaries, giving users an overview of the main points or key takeaways. By inputting a lengthy article, document, or passage, users can ask ChatGPT to summarize it. The model processes the input, identifies essential information, and generates a condensed summary that captures the essence of the original text. This capability can be handy for quickly extracting relevant information from lengthy documents.

ChatGPT can assist users in various creative writing tasks. Whether it's generating story ideas, providing writing prompts, or helping with character development, ChatGPT's language generation capabilities come into play. Users can engage in conversations with ChatGPT, describing their requirements or seeking suggestions, and the model will respond with creative inputs to fuel the writing process.

Developers and programmers can utilize ChatGPT as a coding assistant. ChatGPT can provide guidance, answer coding-related queries, and debug code. By describing coding problems or asking for specific code snippets, developers can receive helpful responses from ChatGPT, helping them overcome challenges or explore new approaches. While ChatGPT's coding assistance is valuable, it's important to note that it may not replace dedicated coding resources or expertise.

Beyond specific tasks, ChatGPT can act as a general-purpose virtual assistant. Users can seek advice on various topics, such as health, finance, travel, or general knowledge. ChatGPT can provide recommendations, explanations, and guidance based on its trained knowledge and understanding of human language.

Despite its impressive capabilities, ChatGPT has limitations and challenges that must be addressed. Firstly, ChatGPT's responses can be sensitive to slight changes in the input phrasing, often requiring users to reword their questions for optimal understanding. This limitation can lead to unintended or nonsensical responses, as the model tends to guess the intended meaning rather than seeking clarification.

Another challenge lies in the quality of responses generated by ChatGPT. While some answers may appear plausible, they may lack practical sense or contain excessive verbosity. Stack Overflow, a famous developer question-and- answer site, temporarily banned ChatGPT-generated responses due to their high rate of incorrect answers. Critics argue that although the responses may sound coherent statistically, they lack proper understanding or accuracy.

Furthermore, ChatGPT's training data is limited to online information, which may contain biases or inaccuracies. The model tends to reflect and amplify such biases, potentially leading to biased or discriminatory responses. OpenAI acknowledges these challenges and actively seeks user feedback to improve the system and mitigate these limitations.

Joel Stafford

My profession is online marketing and development (10+ years experience), check my latest mobile app called Upcoming or my Chrome extensions for ChatGPT. But my real passion is reading books both fiction and non-fiction. I have several favorite authors like James Redfield or Daniel Keyes. If I read a book I always want to find the best part of it, every book has its unique value.

medium.com/@joelbooks

The post ChatGPT Profits Unleashed by Harvey Ford appeared first on Joelbooks.

Lessons from an AI Startup

Question. Learn. Adapt.

The untold narrative of our era is that there are yet untraveled paths to tread and new discoveries to uncover in the world of artificial intelligence (AI). In Grow Up Fast, Zach Rattner, an entrepreneur who journeyed from being a corporate employee to a startup founder, reveals how we can navigate this relatively unknown terrain to create novel leadership and management solutions.

Zach, CTO and Co-Founder of the AI startup Yembo, offers an honest and enlightening perspective on the journey of building a startup in the rapidly evolving field of AI.

This book isn't about quick success or easy wins; instead, it emphasizes the importance of adaptability, patience, and resilience in the face of unexpected hurdles.

It's a guide for those who are eager to venture into the world of AI, based on Zach's own trials and triumphs.

Zach opens with the transformative concept that in the realm of AI startups, uncertainty and discomfort are not hurdles but catalysts for growth. While many may be blinded by the allure of cutting-edge technology and rapid development, Zach argues that progress should not be confined to established tech hubs or pre-defined paths. Every industry, every business holds the potential for evolution.

It is all rooted in one crucial capability that every leader must cultivate: the power to question, learn, and adapt.

The book includes key lessons learned:

• The importance of questioning assumptions
• The value of diversity within a team
• The traps and benefits of feedback
• The beauty of constraints

Zach shows us that getting comfortable with discomfort, effectively managing uncertainty, and empowering teams are critical elements in a startup's progression.

Grow Up Fast brings forth both an invigorating vision of future growth in the AI sector, and a fresh approach to understanding innovation: it all begins by asking the right questions which then lead you to discover untapped potential.

Zach's experiences and insights serve as an inspirational compass for those eager to embark on their own entrepreneurial journey in the captivating yet intricate world of AI startups.

Amazon Zach's Amazon Author Page

Quotes from Grow Up Fast © Copyright 2023 Zach Rattner

In hindsight, no official degree or credential deems one ready for startup life. It’s been my experience that many people feel the threshold to make that leap is just a little past their current abilities. Maybe they need just a bit more experience before they think they will be ready

Pg. 16

All projects carry risks, but not all risks are created equal. By focusing on the existential dangers first, we could effectively zero in on a solution and then unlock other tasks.

Pg. 31

There are many untapped companies when looking at the intersection of a novel technology and an industry that hasn’t been substantially influenced by that technology yet.

Pg. 46

There are many easier ways to have a fulfilling career without taking the startup path, but at the end of the day, the opportunity at a startup is what you choose to make of it. The industry you choose to go in, the partners, customers, investors, employees, the entire ecosystem around the company is all something you can influence and, to a certain extent, control.

Pg.47

In 2001, the AI assistant HAL 9000 murders the spaceship crew he is supposed to be looking after. But those fictions paper over AI’s genuine potential to improve the human experience in various unexpected and unforeseeable ways.

Pg. 58

The value delivered to the customer is not the technology itself, but rather the benefit that the technology enables.

Pg.62

The best entrepreneurs I have met don’t glorify the days of eating ramen and working until the early morning hours. You do it if you have to (and you will have to), but it’s something to be minimized instead of glorified.

Pg. 71

There are no universally good or bad ideas when it comes to startup concepts. What is good depends on the founding team.

Pg. 71

By telling them beforehand the product sucks and merely asking them to fill in the blanks, you are overcoming the ingrained psychological hurdle to be friendly and soft pedal feedback. As a result, you are much more likely to get helpful feedback

Pg. 76

By assuming the first version of your product sucks and making it easy for people to gripe about it, you can build a great product.

Pg. 78

Entrepreneurs are generally good at starting initiatives. Great entrepreneurs are also good at handing off initiatives to focus on the next challenge.

Pg. 87

In my experience, all too often individuals take opportunities as they come, without giving much thought to the trajectory they are setting themselves on.

Pg. 233

As consumers, governments, corporations, and individuals grapple with the implications of AI, we need input from everyone to make sure it speaks for all of us. Please do not to sit idly and watch things play out — get involved and help the world figure out how to embed AI in the fabric of society.

Pg. 233

I don’t think I am hyperbolizing to say society is in the midst of being reinvented by AI. Will we achieve a utopia with universal basic income, where artificially intelligent agents willingly perform the mundane work of day-to-day life for us? Or will income inequity, already at points never before seen in the US economy, become further exaggerated?

Pg. 234

I predict that the nascent AI technology will be welcomed in areas where people can handle incomplete work products. As long as generative AI makes mistakes that are obvious to a viewer, AI is not going to replace an artist.

Pg. 235

s technology decreases the barrier to entry to an industry, it is generally the most obvious use cases that get disrupted first. The simplest tasks, the most tedious, the ones that are the most clearly defined.

Pg. 237

The AI revolution of the 2020s will follow similar fundamental trends. The cost of sifting through enormous datasets and extracting insights is becoming much less expensive, but this does not make everyone an analyst. We will likely see more businesses run by solopreneurs, but there will still be a human at the top for the foreseeable future.

Pg. 237

They are emulating work products created by someone with the ability to reason, but they themselves do not have the ability to reason. This is why the mistakes are sometimes so obvious.

Pg. 238

Look carefully and deeply at the opportunity it affords to develop new ideas and businesses. And do it now, because AI is going to grow up fast.

Pg. 239

It still blows my mind how my gong provider was able to be a more reliable source of masks to a legitimate medical facility than the local stores in those days.

Pg. 217

Some of the most pivotal moments in a startup’s development are initiated by events outside a founder’s immediate control

Pg. 211

Joel Stafford

My profession is online marketing and development (10+ years experience), check my latest mobile app called Upcoming or my Chrome extensions for ChatGPT. But my real passion is reading books both fiction and non-fiction. I have several favorite authors like James Redfield or Daniel Keyes. If I read a book I always want to find the best part of it, every book has its unique value.

medium.com/@joelbooks

The post Grow Up Fast by Zach Rattner appeared first on Joelbooks.

Artificial Intelligence, Real Riches

Using Ai To Be More Efficient In Business, Save Time, And Make More Money

Unlock the Secrets to Rapid Wealth Generation with ChatGPT (Updated for GPT-4)!

This comprehensive guide unveils the strategies for:

• Developing sustainable income streams within minutes.
• Astonishing your clients by delivering top-notch projects at an impressive speed (effortlessly!).
• Efficiently researching, producing, and advertising captivating content.
• Reclaiming your precious time to concentrate on essential tasks.

In the present scenario, companies shell out hundreds of dollars for compelling articles and blogs, and thousands for social media marketing and SEO every month. With ChatGPT, anyone, including you, can excel in these areas – even without prior experience! Many enterprises are oblivious to this technology or haven't deployed it yet – offering you an opportunity to outcompete existing service providers with minimal exertion – and I'll guide you through it with easy-to-follow instructions. The market may saturate a year hence – seize the moment to kickstart!

Grab your copy of The ChatGPT Millionaire: Earning money online has never been simpler!

Free bonus – Gain access to 150+ potent “Act as” prompts and all the examples from this book in a handy prompt swipe file.

Here’s a sneak peek into the book's contents:

• An introduction to ChatGPT
• Perks of deploying ChatGPT
• A beginner's guide to using ChatGPT
• Tips for optimal utilization of ChatGPT
• Boost your productivity with ChatGPT – churn out exceptional content and code at a breathtaking pace.
• Generate wealth using ChatGPT and establish ever-giving passive income sources instantly.
• Become a high-performing freelancer with ChatGPT – finish your client's projects in a jiffy.
• Design and adapt social media content for diverse platforms in a snap.
• Easily research and author blog posts, video scripts, software applications, online courses, and more.
• 150+ “Act as” prompts to ensure seamless use of ChatGPT for any task.
• The limitations of ChatGPT

Excerpt from ChatGPT Millionaire © Copyright 2023 Jason Goldberg

4. Tutoring in Various Subjects

The Benefit: Offering personalized tutoring in a wide range of subjects, enabling continuous learning and development.

The Actionable Prompt:

ChatGPT, explain the concept of photosynthesis in a simple, easy-to-understand manner for a middle school student.

What’s Expected: ChatGPT will generate a simple and engaging explanation of photosynthesis. The output can serve as an educational resource for the student.

5. Translating Languages

The Benefit: Helping understand and translate text in different languages, promoting effective communication across borders.

The Actionable Prompt:

ChatGPT, translate the following English sentence into Spanish: “It's a beautiful day today, perfect for a picnic.”

What’s Expected: ChatGPT will provide the Spanish translation of the given English sentence, supporting language understanding and translation needs.

6. Brainstorming Ideas

The Benefit: Providing a broad range of ideas for various creative needs, sparking inspiration and kickstarting your projects.

The Actionable Prompt:

ChatGPT, generate ten unique names for a new Italian restaurant that emphasizes authentic, homemade recipes.

What’s Expected: ChatGPT will output a list of ten unique and appealing names that reflect the authenticity and homeliness of the Italian restaurant. This input will save time and help in the decision-making process.

7. Reviewing Documents

The Benefit: Assisting in the quick and thorough review of documents to identify and correct errors, leading to improved writing quality.

The Actionable Prompt:

ChatGPT, here's a draft of an executive summary for a business proposal. Please check for any grammatical errors, stylistic issues, or unclear phrases.

What’s Expected: ChatGPT will provide a reviewed version of the executive summary with corrections and suggestions. This feature can help ensure error-free, well-structured documents, enhancing communication effectiveness.

8. Writing Code

The Benefit: Offering assistance with writing code in various programming languages, enabling efficient problem-solving and learning.

The Actionable Prompt:

ChatGPT, write a simple Python script to reverse a string.

What’s Expected: ChatGPT will generate the requested Python script, which can be used directly or serve as a learning tool for understanding string manipulation in Python.

9. Creating To-Do Lists

The Benefit: Helping in organizing tasks and responsibilities efficiently, leading to improved productivity and time management.

The Actionable Prompt:

ChatGPT, generate a comprehensive to-do list for planning a small business conference.

What’s Expected: ChatGPT will provide a detailed to-do list that includes all necessary tasks for planning a business conference. This feature can aid in event management, ensuring no crucial task is overlooked.

Joel Stafford

My profession is online marketing and development (10+ years experience), check my latest mobile app called Upcoming or my Chrome extensions for ChatGPT. But my real passion is reading books both fiction and non-fiction. I have several favorite authors like James Redfield or Daniel Keyes. If I read a book I always want to find the best part of it, every book has its unique value.

medium.com/@joelbooks

The post ChatGPT Millionaire by Jason Goldberg appeared first on Joelbooks.