100 Best Deep Learning Books of All Time (Updated for 2026)

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1

Deep Learning with Python

François Chollet

5.0

Deep learning is applicable to a widening range of artificial intelligence problems, such as image classification, speech recognition, text classification, question answering, text-to-speech, and optical character recognition. It is the technology behind photo tagging systems at Facebook and Google, self-driving cars, speech recognition systems on your smartphone, and much more.

In particular, Deep

2

The Singularity is Near: When Humans Transcend Biology

Ray Kurzweil

5.0

Preview Summary

The great inventor and futurist Ray Kurzweil is one of the best-known and controversial advocates for the role of machines in the future of humanity. In his latest, thrilling foray into the future, he envisions an event--thesingularity--in which technological change becomes so rapid and so profound that our bodies and brains will merge with our machines.

The Singularity Is Near portrays what life w

Recommended by Tony Robbins, Anthony Robbins, Brian Armstrong, and 4 others.

Antonio Eram

This book was recommended by Antonio when asked for titles he would recommend to young people interested in his career path. [source]

Mark O'Connell

I wouldn’t be the first to look at him this way but I read Kurzweil’s work as essentially a work of religious mysticism. I think there’s no other way to read it, really. [source]

Steve Aoki

It opened me up to the idea of science fiction becoming science fact. [source]

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Deep Learning

Ian Goodfellow, Yoshua Bengio, et al.

5.0

An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives.

Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no

Recommended by Elon Musk, Nassim Nicholas Taleb, Satya Nadella, and 2 others.

Elon Musk

Founder/SpaceX

Written by three experts in the field, Deep Learning is the only comprehensive book on the subject. [source]

Nassim Nicholas Taleb

Author

Very clear exposition, does the math without getting lost in the details. Although many of the concepts of the introductory first 100 pages can be found elsewhere, they are presented with remarkable cut-to-the-chase clarity. [source]

Satya Nadella

CEO/Microsoft

Elon Musk and Facebook AI chief Yann LeCun have praised this textbook on one of software’s most promising frontiers. After its publication, Microsoft signed up coauthor Bengio, a pioneer in machine learning, as an adviser [source]

4

Life 3.0: Being Human in the Age of Artificial Intelligence

Max Tegmark

4.8

Preview Summary

How will Artificial Intelligence affect crime, war, justice, jobs, society and our very sense of being human? The rise of AI has the potential to transform our future more than any other technology--and there's nobody better qualified or situated to explore that future than Max Tegmark, an MIT professor who's helped mainstream research on how to keep AI beneficial.

How can we grow our prosperity th

Recommended by Barack Obama, Bill Gates, Elon Musk, and 2 others.

Barack Obama

Former USA President

As 2018 draws to a close, I’m continuing a favorite tradition of mine and sharing my year-end lists. It gives me a moment to pause and reflect on the year through the books I found most thought-provoking, inspiring, or just plain loved. It also gives me a chance to highlight talented authors – some who are household names and others who you may not have heard of before. Here’s my best of 2018 list. [source]

Bill Gates

CEO/Microsoft

Anyone who wants to discuss how artificial intelligence is shaping the world should read this book. [source]

Elon Musk

Founder/SpaceX

A compelling guide to the challenges and choices in our quest for a great future of life, intelligence and consciousness—on Earth and beyond. [source]

5

Superintelligence: Paths, Dangers, Strategies

Nick Bostrom

4.7

Preview Summary

Superintelligence asks the questions: what happens when machines surpass humans in general intelligence? Will artificial agents save or destroy us? Nick Bostrom lays the foundation for understanding the future of humanity and intelligent life.

The human brain has some capabilities that the brains of other animals lack. It is to these distinctive capabilities that our species owes its dominant posi

Recommended by Elon Musk, Maria Ramos, and Will MacAskill.

Elon Musk

Founder/SpaceX

Worth reading Superintelligence by Bostrom. We need to be super careful with AI. Potentially more dangerous than nukes. [source]

Maria Ramos

CEO/Barclays Africa

Ramos will take the summer to examine some of the questions weighing more heavily on humankind as we contemplate our collective future: what happens when we can write our own genetic codes, and what happens when we create technology that is meaningfully more intelligent than us. The Gene: An Intimate History—Siddhartha Mukherjee Superintelligence: Paths, Dangers, Strategies—Nick Bostrom The Ministry of Utmost Happiness—Arundhati Roy [source]

Will MacAskill

I picked this book because the possibility of us developing human-level artificial intelligence, and from there superintelligence—an artificial agent that is considerably more intelligent than we are—is at least a contender for the most important issue in the next two centuries. Bostrom’s book has been very influential in effective altruism, lots of people work on artificial intelligence in order to ensure that it is developed safely. I don’t agree with the entire contents of the book, but there are many compelling arguments in it. It would be extremely overconfident to dismiss this book as too speculative. In fact, I think there should be a lot more work that tries to understand the biggest challenges for the next two hundred years, and what we could do to try to overcome them. [source]

6

Gödel, Escher, Bach: An Eternal Golden Braid

Douglas R. Hofstadter

4.6

Douglas Hofstadter's book is concerned directly with the nature of “maps” or links between formal systems. However, according to Hofstadter, the formal system that underlies all mental activity transcends the system that supports it. If life can grow out of the formal chemical substrate of the cell, if consciousness can emerge out of a formal system of firing neurons, then so too will computers at

Recommended by Steve Jurvetson, Seth Godin, Cory Zue, and 2 others.

Steve Jurvetson

Steve Jurvetson recommended this book on the podcast "The Tim Ferriss Show". [source]

Seth Godin

Author, Marketer, Entrepreneur

In the last week, I discovered that at least two of my smart friends hadn't read Godel, Escher, Bach. They have now. You should too. [source]

Cory Zue

More recently books like Godel, Escher, Bach and Sapiens have influenced my thinking a lot. [source]

7

AI Superpowers: China, Silicon Valley, and the New World Order

Kai-Fu Lee

4.5

Dr. Kai-Fu Lee—one of the world’s most respected experts on AI and China—reveals that China has suddenly caught up to the US at an astonishingly rapid and unexpected pace. In AI Superpowers, Kai-fu Lee argues powerfully that because of these unprecedented developments in AI, dramatic changes will be happening much sooner than many of us expected. Indeed, as the US-Sino AI competition begins to hea

Recommended by Arianna Huffington, Satya Nadella, Yuval Noah Harari, and 13 others.

Arianna Huffington

Founder/The Huffington Post

Kai-Fu Lee's experience as an AI pioneer, top investor, and cancer survivor has led to this brilliant book about global technology. AI Superpowers gives us a guide to a future that celebrates all the benefits that AI will bring, while cultivating what is unique about our humanity. It’s one of those books you read and think, ‘Why are people reading any other book right now when this is so clearly the one they need to be reading? [source]

Satya Nadella

CEO/Microsoft

Kai-Fu Lee's smart analysis on human-AI coexistence is clear-eyed and a must-read. We must look deep within ourselves for the values and wisdom to guide AI's development. [source]

Yuval Noah Harari

Historian

A superb and very timely survey of the impact of AI on the geopolitical system, the job market and human society. [source]

8

Human Compatible: Artificial Intelligence and the Problem of Control

Stuart Russell

4.5

A leading artificial intelligence researcher lays out a new approach to AI that will enable us to coexist successfully with increasingly intelligent machines

In the popular imagination, superhuman artificial intelligence is an approaching tidal wave that threatens not just jobs and human relationships, but civilization itself. Conflict between humans and machines is seen as inevitable and its out

Recommended by Elon Musk, Diane Coyle, and Marcus Borba.

Elon Musk

Founder/SpaceX

Worth reading. [source]

Diane Coyle

there’s a whole clutch of AI books…People want to understand what’s going on. Human Compatible is a really clearly written one. It explains enough about how AI works, but also what some of the challenges are. [source]

Marcus Borba

Book Review, ‘Human Compatible’: A Book About Artificial Intelligence (#AI) That Asks Some Interesting Questions https://t.co/BCe5JnHPuE @Forbes #ArtificialIntelligence #DataScience #BigData #DeepLearning #Robotics #MachineLearning https://t.co/gKo0mpBeva [source]

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9

Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems

Geron

4.5

Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how.

By using concrete examples, minimal theory, and two production-ready Python frameworks-scikit-learn and

Recommended by Mark Tabladillo.

Mark Tabladillo

Book to Start You on Machine Learning - KDnuggets https://t.co/19fdX59b0d This book is “Hands-On Machine Learning with Scikit-Learn & TensorFlow”. each new revision has become an even better version of one of the best in-depth resources to learn Machine Learning by doing. https://t.co/ujyUH3xU3e [source]

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10

An Introduction to Statistical Learning: With Applications in R

Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani

4.4

An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant a

Recommended by Roger D. Peng.

Roger D. Peng

This book is written by a powerhouse of authors in the machine learning community, true authorities in the field. But beyond that, they’re also great writers. [source]

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11

Neural Networks and Deep Learning

Charu C. Aggarwa

4.4

Neural Networks and Deep Learning is a free online book. The book will teach you about:
* Neural networks, a beautiful biologically-inspired programming paradigm which enables a computer to learn from observational data
* Deep learning, a powerful set of techniques for learning in neural networks

Neural networks and deep learning currently provide the best solutions to many problems in image recognit

12

Pattern Recognition and Machine Learning

Christopher M. Bishop

4.3

Pattern recognition has its origins in engineering, whereas machine learning grew out of computer science. However, these activities can be viewed as two facets of the same field, and together they have undergone substantial development over the past ten years. In particular, Bayesian methods have grown from a specialist niche to become mainstream, while graphical models have emerged as a general

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13

The Hundred-Page Machine Learning Book

Andriy Burkov

4.3

WARNING! To avoid buying counterfeit on Amazon, click on "See All Buying Options" and choose "Amazon.com" and not a third-party seller.

Concise and to the point — the book can be read during a week. During that week, you will learn almost everything modern machine learning has to offer. The author and other practitioners have spent years learning these concepts.

Companion wiki — the book has a conti

Recommended by Kirk Borne.

Kirk Borne

Recent top-selling books in #AI & #MachineLearning: https://t.co/Ij9I7SzR4d ————— #BigData #DataScience #DataMining #Algorithms #PredictiveAnalytics #Python ————— ...in the TOP 10: 1)The Hundred-Page ML Book: https://t.co/dQ7nP6gwP0 2)Hands-on ML with...: https://t.co/Y0Iz3GbtGP https://t.co/72rAFN1FwW [source]

14

The Emperor's New Mind: Concerning Computers, Minds, and the Laws of Physics (Oxford Landmark Science)

Roger Penrose

4.3

For many decades, the proponents of `artificial intelligence' have maintained that computers will soon be able to do everything that a human can do. In his bestselling work of popular science, Sir Roger Penrose takes us on a fascinating tour through the basic principles of physics, cosmology, mathematics, and philosophy to show that human thinking can never be emulated by a machine.

Oxford Landmark

Recommended by Jim Al-Khalili.

Jim Al-Khalili

If things are left to their own devices they decay and unwind and disorder increases. If you take a pack of cards in the right order and shuffle it they will get mixed up. [source]

15

Make Your Own Neural Network

Tariq Rashid

4.3

16

Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2, 3rd Edition

Sebastian Raschka

4.3

Link to the GitHub Repository containing the code examples and additional material: https://github.com/rasbt/python-machi...

Many of the most innovative breakthroughs and exciting new technologies can be attributed to applications of machine learning. We are living in an age where data comes in abundance, and thanks to the self-learning algorithms from the field of machine learning, we can turn thi

17

Grokking Deep Learning

Andrew Trask

4.3

Artificial Intelligence is one of the most exciting technologies of the century, and Deep Learning is in many ways the “brain” behind some of the world’s smartest Artificial Intelligence systems out there. Loosely based on neuron behavior inside of human brains, these systems are rapidly catching up with the intelligence of their human creators, defeating the world champion Go player, achieving su

18

Reinforcement Learning: An Introduction

Richard S. Sutton and Andrew G. Barto

4.3

The significantly expanded and updated new edition of a widely used text on reinforcement learning, one of the most active research areas in artificial intelligence.

Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives while interacting with a comple

Recommended by Zachary Lipton.

Zachary Lipton

@innerproduct 1. Tor Lattimore Great book work on bandits (https://t.co/gttspSm40W) and work on causality + bandits (https://t.co/lkwvtEiKvE) 2. Caroline Uhler — Interesting work on causal inference + discovery, causal inference under measurement error etc (https://t.co/I3IRpwmdMd) [source]

19

Machine Learning: A Probabilistic Perspective

Kevin P. Murphy

4.2

A comprehensive introduction to machine learning that uses probabilistic models and inference as a unifying approach.

Today's Web-enabled deluge of electronic data calls for automated methods of data analysis. Machine learning provides these, developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict future data. This textbook offers a comprehen

Recommended by Kirk Borne.

Kirk Borne

#MachineLearning — a Probabilistic Perspective: https://t.co/wAZwLoUFGF ———— #BigData #Statistics #DataScience #DeepLearning #AI #Algorithms #StatisticalLiteracy #Mathematics #abdsc ——— ⬇Get this brilliant 1100-page 28-chapter highly-rated book: https://t.co/Tm2zchpHSu https://t.co/jprUDdzkj8 [source]

20

Design Patterns: Elements of Reusable Object-Oriented Software

Erich; Helm John Gamma

4.2

Capturing a wealth of experience about the design of object-oriented software, four top-notch designers present a catalog of simple and succinct solutions to commonly occurring design problems. Previously undocumented, these 23 patterns allow designers to create more flexible, elegant, and ultimately reusable designs without having to rediscover the design solutions themselves.

The authors begin by

21

If Anyone Builds It, Everyone Dies: Why Superhuman AI Would Kill Us All

Eliezer Yudkowsky, Nate Soares

4.2

INSTANT NEW YORK TIMES BESTSELLER | The New Yorker's Best Books of 2025 | The Guardian's Best Books of 2025 | A 2025 Booklist Editors' Choice Pick The scramble to create superhuman AI has put us on the path to extinction—but it’s not too late to change course, as two of the field’s earliest researchers explain in this clarion call for humanity. "May prove to be the most important book of our time.

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22

The Naked Sun (Robot, #2)

Isaac Asimov

4.2

A millennium into the future, two advancements have altered the course of human history: the colonization of the Galaxy and the creation of the positronic brain. On the beautiful Outer World planet of Solaria, a handful of human colonists lead a hermit-like existence, their every need attended to by their faithful robot servants. To this strange and provocative planet comes Detective Elijah Baley,

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23

Purposeful Play: A Teacher's Guide to Igniting Deep and Joyful Learning Across the Day

Kristine Mraz, Alison Porcelli, et al.

4.2

Play is serious business.

Whether it's reenacting a favorite book (comprehension and close reading), negotiating the rules for a game (speaking and listening), or collaborating over building blocks (college and career readiness and STEM), Kristi Mraz, Alison Porcelli, and Cheryl Tyler see every day how play helps students reach standards and goals in ways that in-their-seat instruction alone can't

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24

Artificial Intelligence: A Guide for Thinking Humans

Melanie Mitchell

4.2

A sweeping examination of the current state of artificial intelligence and how it is remaking our world

No recent scientific enterprise has proved as alluring, terrifying, and filled with extravagant promise and frustrating setbacks as artificial intelligence. The award-winning author Melanie Mitchell, a leading computer scientist, now reveals AI’s turbulent history and the recent spate of apparent

Recommended by David Shaywitz.

David Shaywitz

Really enjoying, and have nearly completed (via @audible_com) @MelMitchell1 fascinating new book on AI. https://t.co/feb6t8qwMJ highly recommended! And h/t to @kevinhorgan for yet another splendid suggestion. [source]

25

Dark Pools: The Rise of Artificially Intelligent Trading Machines and the Looming Threat to Wall Street

Scott Patterson

4.2

A news-breaking account of the global stock market's subterranean battles, Dark Pools portrays the rise of the "bots"- artificially intelligent systems that execute trades in milliseconds and use the cover of darkness to out-maneuver the humans who've created them.
In the beginning was Josh Levine, an idealistic programming genius who dreamed of wresting control of the market from the big exchange

26

Practical Deep Learning for Cloud, Mobile, and Edge: Real-World AI & Computer-Vision Projects Using Python, Keras & Tensorflow

Anirudh Koul, Siddha Ganju, et al.

4.2

Whether you're a software engineer aspiring to enter the world of deep learning, a veteran data scientist, or a hobbyist with a simple dream of making the next viral AI app, you might have wondered where to begin. This step-by-step guide teaches you how to build practical deep learning applications for the cloud, mobile, browsers, and edge devices using a hands-on approach.

Relying on years of indu

27

Nexus: A Brief History of Information Networks from the Stone Age to AI

Yuval Noah Harari

4.2

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28

Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning

Chris Albon

4.2

This practical guide provides nearly 200 self-contained recipes to help you solve machine learning challenges you may encounter in your daily work. If you're comfortable with Python and its libraries, including pandas and scikit-learn, you'll be able to address specific problems such as loading data, handling text or numerical data, model selection, and dimensionality reduction and many other topi

Recommended by Dj Patil and Kirk Borne.

Dj Patil

Because @chrisalbon is too humble to promote his book, I'm going to step in and say you should really go out and get it. Built on top of his awesome flash cards (https://t.co/ZbvZumC9Kq). It's a great way to get going on machine learning https://t.co/G3kKKErgIb [source]

Kirk Borne

✨🎉🌟Must see this >> Free #Python #DataScience Coding book series for #DataScientists ...via @DataScienceCtrl ——————————————— #abdsc #Coding #MachineLearning #BigData #BeDataBrilliant #DataLiteracy 👇👇👇 https://t.co/l14zcnYlb7 [source]

29

The Book of Why: The New Science of Cause and Effect

Judea Pearl

4.2

A Turing Award-winning computer scientist and statistician shows how understanding causality has revolutionized science and will revolutionize artificial intelligence
"Correlation is not causation." This mantra, chanted by scientists for more than a century, has led to a virtual prohibition on causal talk. Today, that taboo is dead. The causal revolution, instigated by Judea Pearl and his colleag

Recommended by D.a. Wallach and Kirk Borne.

D.a. Wallach

@EricTopol @yudapearl @bschoelkopf @MPI_IS I love @yudapearl 's book so much! Profound, heterodox. [source]

Kirk Borne

.@yudapearl wrote the awesome "Book of Why", but he recommends this fun and less #mathematics-heavy read >> his #AI lecture given in 1999: https://t.co/kNYIoJ8qcY #DataScience #MachineLearning #Statistics #BookofWhy #Causalinference #Bayes https://t.co/CNQlKP8cU3 [source]

30

You Look Like a Thing and I Love You: How Artificial Intelligence Works and Why It's Making the World a Weirder Place

Janelle Shane

4.2

AS HEARD ON NPR'S "SCIENCE FRIDAY"
Discover the book that Malcolm Gladwell, Susan Cain, Daniel Pink, and Adam Grant want you to read this year, an "accessible, informative, and hilarious" introduction to the weird and wonderful world of artificial intelligence (Ryan North).
"You look like a thing and I love you" is one of the best pickup lines ever... according to an artificial intelligence traine

Recommended by Robert Went.

Robert Went

Reading ‘You look like a thing and I love you: How AI works and why it is making the world a weirder place’, a wonderful book by @JanelleCShane — very funny, and I learn a lot https://t.co/SaZPjRTdVw [source]

31

The ChatGPT Millionaire: Making Money Online has never been this EASY (Chat GPT and Generative AI Mastery Series)

Neil Dagger

4.2

Preview Summary

32

2084 and the AI Revolution, Updated and Expanded Edition: How Artificial Intelligence Informs Our Future

John C. Lennox

4.2

33

Co-Intelligence: Living and Working with AI

Ethan Mollick

4.2

34

The Claude AI Bible: The Complete and Easy-to-Follow Guide to Mastering Claude – Build Practical Workflows, Automate Repetitive Tasks, and 10x Your Productivity

Thomas R. Caldwell

4.2

Claude Can Finish the Work. Why Are You Still Rewriting Its Answers?Start with one clear request. Finish with a send-ready email, polished report, working tool, or reusable automation—in minutes, not hours—even if you’re a complete beginner who can’t code.Imagine closing your laptop tonight with the email sent, report distilled, or tool working—and your evening still yours. Save the process, and n

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35

Deep Learning in a Disorienting World

Jon F. Wergin

4.2

Much has been written about the escalating intolerance of worldviews other than one's own. Reasoned arguments based on facts and data seem to have little impact in our increasingly post-truth culture dominated by social media, fake news, tribalism, and identity politics. Recent advances in the study of human cognition, however, offer insights on how to counter these troubling social trends. In thi

36

AI Engineering: Building Applications with Foundation Models

Chip Huyen

4.2

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37

The Robots of Dawn (Robot #3)

Isaac Asimov

4.2

Isaac Asimov's ROBOT series - from the iconic collection I, ROBOT to four classic novels - contains some of the most influential works in the history of science fiction. Establishing and testing the THREE LAWS OF ROBOTICS, they continue to shape the understanding and design of artificial intelligence to this day.

On Aurora, the first and greatest of the Spacer planets, Elijah Baley and R. Daneel Ol

38

I Am a Strange Loop

Douglas R. Hofstadter

4.2

Can thought arise out of matter? Can self, soul, consciousness, “I” arise out of mere matter? If it cannot, then how can you or I be here?I Am a Strange Loop argues that the key to understanding selves and consciousness is the “strange loop”—a special kind of abstract feedback loop inhabiting our brains. The most central and complex symbol in your brain is the one called “I.” The “I” is the nexus

Recommended by Sam Freedman.

Sam Freedman

@michael_merrick Dougla Hofstader's "I Am A Strange Loop" is the best book on "purpose" as an atheist I've read. I found it enormously moving and hopeful. Whereas the idea of a god doesn't do anything for me. Different kind of faith I guess. [source]

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39

Data Smart: Using Data Science to Transform Information into Insight

JOHN W. FOREMAN

4.2

Data Science gets thrown around in the press like it's magic. Major retailers are predicting everything from when their customers are pregnant to when they want a new pair of Chuck Taylors. It's a brave new world where seemingly meaningless data can be transformed into valuable insight to drive smart business decisions.

But how does one exactly do data science? Do you have to hire one of these prie

40

AI Native: The Mandate to Transform Your Company

Kai-Fu Lee

4.2

A sweeping roadmap for business leaders in the AI age, when every organization must rethink how it operates, competes, and creates value—from AI legend and New York Times bestselling author of AI Superpowers and AI 2041 Kai-Fu Lee“Kai-Fu Lee is among our most prescient thinkers and writers.... Powerful.”—Satya Nadella, Microsoft CEOTwo years ago, the best AI agents could autonomously complete task

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41

Deep Learning: A Practitioner's Approach

Josh Patterson, Adam Gibson

4.2

Looking for one central source where you can learn key findings on machine learning? Deep Learning: The Definitive Guide provides developers and data scientists with the most practical information available on the subject, including deep learning theory, best practices, and use cases.

Authors Adam Gibson and Josh Patterson present the latest relevant papers and techniques in a nonacademic manner, a

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42

From Curiosity to Deep Learning: Personal Digital Inquiry in Grades K-5

Julie Coiro, Elizabeth Dobler, et al.

4.2

“In an era where personalized learning has often come to be associated with isolated one-to-one device technology, we thirst for this personal, constructivist, collaborative approach to digital inquiry.” —Stephanie Harvey

From Curiosity to Deep Learning: Personal Digital Inquiry in Grades K–5 reveals the powerful learning that results when you integrate purposeful technology into a classroom cultur

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43

Advanced Deep Learning with TensorFlow 2 and Keras: Apply DL, GANs, VAEs, deep RL, unsupervised learning, object detection and segmentation, and more, 2nd Edition

Rowel Atienza

4.2

44

A Brief History of Intelligence: Evolution, AI, and the Five Breakthroughs That Made Our Brains

Max Bennett

4.1

45

Deep Medicine: How Artificial Intelligence Can Make Healthcare Human Again

Eric Topol

4.1

A Science Friday pick for book of the year, 2019
One of America's top doctors reveals how AI will empower physicians and revolutionize patient care
Medicine has become inhuman, to disastrous effect. The doctor-patient relationship--the heart of medicine--is broken: doctors are too distracted and overwhelmed to truly connect with their patients, and medical errors and misdiagnoses abound. In Deep

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46

Machine Learning For Absolute Beginners: A Plain English Introduction

Oliver Theobald

4.1

Featured by Tableau as the first of "7 Books About Machine Learning for Beginners" Ready to crank up a virtual server and smash through petabytes of data? Want to add 'Machine Learning' to your LinkedIn profile?Well, hold on there...Before you embark on your epic journey into the world of machine learning, there is some theory and statistical principles to march through first. But rather than spen

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47

Deep Learning with R

Francois Chollet and J. J. Allaire

4.1

Summary

Deep Learning with R introduces the world of deep learning using the powerful Keras library and its R language interface. The book builds your understanding of deep learning through intuitive explanations and practical examples.

Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

About the Technology

Machine learning has made remarkable

48

The God Test: Artificial Intelligence and Our Coming Cosmic Reckoning

Robert Wright

4.1

From bestselling author and Pulitzer Prize finalist Robert Wright comes a sweeping new view of artificial intelligence—as an evolutionary force that will pose deep political and spiritual challenges and could, in the process, give our species a unifying sense of purpose.The God Test is the first book to capture the power behind the AI revolution—to clearly explain the breakthroughs that sparked th

49

The Human-Agent Orchestrator: Leading and Scaling AI-Driven Organizations

Pascal Bornet, Jochen Wirtz, Tarja Stephens, Frederique C. Corbett, Shigeki Yamaguchi, Rachel Wood, Rakesh Gohel, Helen Yu, Nima Schei

4.1

From the authors of a Forbes "Top 10 Must-Read Tech Book" for 2025.“The magic isn’t in bigger AI models, it’s in Orchestration.”—Andrew Ng, Founder, DeepLearning.AI and Coursera“The era of the user is ending. The era of the Orchestrator has begun.”—Marshall Goldsmith, two-time Thinkers50 #1 Global Leadership ThinkerWe are the last generation to manage only humans. The next will manage hybrid teams

50

Workforce Intelligence: The People-First Playbook for Leading Your Company Through AI Transformation

Mike Sullivan, Vinay Gidwaney

4.1

USA TODAY BESTSELLERThe operator-tested framework for leading AI transformation as a talent strategyMost enterprise AI initiatives fail because organizations treat them as technology rollouts rather than talent management challenges. In Workforce Intelligence: The People-First Playbook for Leading Your Company Through AI Transformation, OneDigital co-founder Mike Sullivan and Chief Product Officer

51

The Thinking Machine: Jensen Huang, Nvidia, and the World's Most Coveted Microchip

Stephen Witt

4.1

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Compassionate Artificial Intelligence

Dr Amit Ray

4.1

The book describes the principles, algorithms and frameworks for developing meaningful compassionate AI systems. Compassionate AI address the issues for creating solutions for some of the challenges the humanity is facing today, like the need for compassionate care-giving, helping physically and mentally challenged people, reducing human pain and diseases, stopping nuclear warfare, preventing mass

53

Empire of AI: Dreams and Nightmares in Sam Altman's OpenAI

Karen Hao

4.1

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54

Deep Learning and the Game of Go

Max Pumperla and Kevin Ferguson

4.1

55

Ontology Pipeline: A Framework for Knowledge Engineering

Jessica Talisman

4.1

Build semantic knowledge systems with trusted and AI-ready taxonomies, ontologies, and knowledge graphs.Ontology Pipeline gives data leaders, semantic engineers, ontologists, taxonomists, knowledge managers, librarians, AI architects, and enterprise data teams a practical framework for turning messy organizational language into structured, machine-readable knowledge. Instead of treating ontology d

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56

Introduction to Machine Learning with Python: A Guide for Data Scientists

Andreas C. Müller and Sarah Guido

4.1

Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. If you use Python, even as a beginner, this book will teach you practical ways to build your own machine learning solutions. With all the data available today, machine learning applications are limited only by your ima

Recommended by Francesco Marconi.

Francesco Marconi

Top programming languages ranked by its annual search engine popularity. Python has gained momentum because of its importance to machine learning development. At @WSJ we are using it to build tools for journalists. Tip: this is a great book for anyone who wants to get started! https://t.co/ZsHjqB5gvC [source]

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57

New Pedagogies for Deep Learning: Leading Transformation in Schools, Districts and Systems

Michael Fullan, Joanne Quinn, et al.

4.1

Engage the world, change the world

Deep Learning has claimed the attention of educators and policymakers around the world. This book not only defines what deep learning is, but takes up the question of how to mobilize complex, whole-system change and transform learning for all students.

New Pedagogies for Deep Learning is a global partnership that works to: transform the role of teachers to that

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58

How to Create a Mind: The Secret of Human Thought Revealed

Ray Kurzweil

4.1

The bold futurist and bestselling author explores the limitless potential of reverse-engineering the human brain

Ray Kurzweil is arguably today’s most influential—and often controversial—futurist. In How to Create a Mind, Kurzweil presents a provocative exploration of the most important project in human-machine civilization—reverse engineering the brain to understand precisely how it works and usin

Recommended by Naveen Jain and Sonja Mel.

Naveen Jain

Then the great book that Ray Kurzweil wrote, "How to Create a Mind" really tells you about how human brain works. [source]

Sonja Mel

This book in the photo is How to Create a Mind - Ray Kurzweil.. I just finished it a few days ago 🤯, if you’re interested in consciousness, how we process our world, AI it’s a must read. Your first gift on audible is free, here!!! - https://t.co/58MrEa8pP9 [source]

59

Why Machines Learn: The Elegant Math Behind Modern AI

Anil Ananthaswamy

4.1

60

The Nvidia Way: Jensen Huang and the Making of a Tech Giant

Tae Kim

4.1

61

Artificial Intelligence: A Modern Approach, Global Edition

Peter Norvig and Stuart Russell

4.1

62

The Alignment Problem: Machine Learning and Human Values

Brian Christian

4.1

63

Database Internals: A deep-dive into how distributed data systems work

Alex Petrov

4.1

When it comes to choosing, using, and maintaining a database, understanding its internals is essential. But with so many distributed databases and tools available today, it’s often difficult to understand what each one offers and how they differ. With this practical guide, Alex Petrov guides developers through the concepts behind modern database and storage engine internals.

Throughout the book, yo

64

Concrete Mathematics: A Foundation for Computer Science

Ronald L. Graham, Donald E. Knuth, et al.

4.1

Concrete Mathematics is a blending of CONtinuous and disCRETE mathematics. "More concretely," the authors explain, "it is the controlled manipulation of mathematical formulas, using a collection of techniques for solving problems."

65

All of Statistics: A Concise Course in Statistical Inference

Larry Wasserman

4.1

Taken literally, the title "All of Statistics" is an exaggeration. But in spirit, the title is apt, as the book does cover a much broader range of topics than a typical introductory book on mathematical statistics. This book is for people who want to learn probability and statistics quickly. It is suitable for graduate or advanced undergraduate students in computer science, mathematics, statistics

66

The Reverse Centaur's Guide to Life After AI

Cory Doctorow

4.1

AN INSTANT NEW YORK TIMES BESTSELLERNational Indie Bestseller"[Doctorow] resembles the great rock critics of an earlier era, a high-tech Greil Marcus or even a Lester Bangs." ―Stephen Marche, The New York Times Book ReviewA short, provocative guide to what's good, bad, and stupid about AI and the discourse around AI, by the author of Enshittification. In modern tech parlance, a centaur is a person

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67

Advances in Financial Machine Learning

Marcos López de Prado

4.1

Machine learning (ML) is changing virtually every aspect of our lives. Today ML algorithms accomplish tasks that until recently only expert humans could perform. As it relates to finance, this is the most exciting time to adopt a disruptive technology that will transform how everyone invests for generations. Readers will learn how to structure Big data in a way that is amenable to ML algorithms; h

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68

Python Programming: 2 books in 1: Learn Python Programming + Neural Networks for Beginners - An Easy Textbook for Getting Started with Machine Learning, ... Data Science (Artificial Intelligence 5)

Russel R. Russo

4.1

69

High-Performance Organizations in The Age of AI: How Leaders Build Thriving Cultures, Systems and Teams

Wilts C Alexander III

4.1

This amazingly timely and insightful new book provides a comprehensive framework for leaders aiming to build high-performance organizations in the age of artificial intelligence.Its objective is to guide executives, managers, and change agents in leveraging AI not merely as a technology initiative, but as a catalyst for organizational transformation, innovation, and sustainable growth.The approach

70

The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World

Pedro Domingos

4.1

A thought-provoking and wide-ranging exploration of machine learning and the race to build computer intelligences as flexible as our own
In the world's top research labs and universities, the race is on to invent the ultimate learning algorithm: one capable of discovering any knowledge from data, and doing anything we want, before we even ask. In The Master Algorithm, Pedro Domingos lifts the veil

Recommended by Vinod Khosla.

Vinod Khosla

Co-Founder/Sun Microsystem

If you want speculation about what the master AI might need (one view). For a slightly more technical read, I’d suggest Ian Goodfellows Deep Learning. [source]

71

More Everything Forever: AI Overlords, Space Empires, and Silicon Valley's Crusade to Control the Fate of Humanity

Adam Becker, Greg Tremblay, and Basic Books

4.1

72

Code Red: The Left, the Right, China, and the Race to Control AI

Wynton Hall

4.1

A NEW YORK TIMES BESTSELLER“One of the most important books in years.” - #1 NYT Bestselling Author Peter Schweizer“Code Red is a must-read.” – Sen. Marsha Blackburn, TIME’s 100 Most Influential People in AI “Illuminating...alarming...essential.” – Michael Shellenberger, Award-Winning Investigative Journalist You don't get to opt out of the AI revolution. The decision has already been made for you.

73

AI for Beginners: [3 in 1]: Learn AI Basics, Master Prompt Engineering, and Discover How to Make Money with AI - NO CODING REQUIRED (THE AI WORKSHOP by Milo Foster Book 4)

Milo Foster

4.1

The Complete Beginner-to-Income Roadmap for Mastering AI—No Coding RequiredArtificial intelligence is changing how people work, create, communicate, and build businesses. But with so many tools and conflicting recommendations, knowing where to begin can feel overwhelming.The AI Workshop three-book collection gives you a clear, practical path from understanding AI to writing effective prompts and t

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74

Building Machine Learning Powered Applications: Going from Idea to Product

Emmanuel Ameisen

4.1

Learn the skills necessary to design, build, and deploy applications powered by machine learning. Through the course of this hands-on book, you'll build an example ML-driven application from initial idea to deployed product. Data scientists, software engineers, and product managers with little or no ML experience will learn the tools, best practices, and challenges involved in building a real-worl

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75

Woken Furies (Takeshi Kovacs, #3)

Richard K. Morgan

4.1

This is high action, ideas driven noir SF of the highest order. Morgan has already established himself as an SF author of global significance.

Takeshi Kovacs has come home. Home to Harlan's World. An ocean planet with only 5 percent of its landmass poking above the dangerous and unpredictable seas. Try and get above the weather in anything more sophisticated than a helicopter and the Martian orbita

76

Hands-On Large Language Models: Language Understanding and Generation

Jay Alammar and Maarten Grootendorst

4.1

77

The Coming Wave: Technology, Power, and the Twenty-First Century's Greatest Dilemma

Mustafa Suleyman

4.1

78

Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications

Chip Huyen

4.1

79

Natural Language Processing with Python

Steven Bird, Ewan Klein, Edward Loper

4.0

This book offers a highly accessible introduction to natural language processing, the field that supports a variety of language technologies, from predictive text and email filtering to automatic summarization and translation. With it, you'll learn how to write Python programs that work with large collections of unstructured text. You'll access richly annotated datasets using a comprehensive range

80

The Singularity Is Nearer: When We Merge with AI

Ray Kurzweil

4.0

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81

Artificial Intelligence: 101 Things You Must Know Today about Our Future

Lasse Rouhiainen

4.0

Did you know that artificial intelligence is changing our world faster than we can imagine?

It will impact every area of our lives.

And this is happening whether we like it or not.

Artificial intelligence will help us do almost everything better, faster and cheaper, and it will profoundly change industries such as transportation, tourism, healthcare, education, retail, agriculture, finance, sales and

Recommended by Mark S A Smith.

Mark S A Smith

Will your job survive the Artificial Intelligence onslaught? Read this new book on the 101 questions you must ask yourself, your team, and your employer about #AI. https://t.co/L9HLPhfFNH [source]

82

The Worlds I See: Curiosity, Exploration, and Discovery at the Dawn of AI

Fei-Fei Li

4.0

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83

Digital Transformation: Survive and Thrive in an Era of Mass Extinction

Thomas M. Siebel

4.0

From visionary Silicon Valley entrepreneur Tom Siebel comes a penetrating examination of the new technologies that are disrupting business and government—and how organizations can harness them to transform into digital enterprises.

The confluence of four technologies—elastic cloud computing, big data, artificial intelligence, and the internet of things —writes Siebel, is fundamentally changing how

Recommended by Eric Schmidt and Garry Kasparov.

Eric Schmidt

CEO/Google

Urgent doesn’t begin to describe the insights contained in Tom Siebel's Digital Transformation. His combination of historic perspective and an incisive approach to the specific technologies reshaping our world should be essential reading for any leader. [source]

Garry Kasparov

Digital Transformation delivers a detailed look at the big picture, explaining not only what is happening now, but what companies must do and why. Instead of being fearful, read this book and learn how human leadership, strategy, and risk-taking can make the most of it. [source]

84

Genius Makers: The Mavericks Who Brought AI to Google, Facebook, and the World

Cade Metz

4.0

85

The AI-Driven Leader: Harnessing AI to Make Faster, Smarter Decisions

Geoff Woods

4.0

New and updated 2026 edition. The difference between growing your business and going out of business is your ability to think strategically.The problem is, most leaders are stuck in the operational weeds, struggling to find the time to make better strategic decisions. This challenge is only heightened by the rise of AI. While you know AI is the future, current demands leave you with no time to exp

86

Build a Large Language Model (From Scratch)

Sebastian Raschka

4.0

87

Claude AI for Beginners Bible: [5 in 1] The Ultimate Guide to Automate Your Work, Save Hours Every Week, and Use AI for Real-World Results

Pierce J. Sheldon

4.0

Claude Doesn't Just Talk. It Builds. So Why Are You Still Using AI Like It's 2023? Something just changed in how AI actually works. For the first time, you can build real things with a single prompt. Documents. Spreadsheets. Code. Tools. Websites. Automations. Full email workflows. Even complete ad campaigns. No coding. No technical background. No years of training. Just an idea, a few sentences,

88

The Proof in the Code: How a Truth Machine Is Transforming Math and AI

Kevin Hartnett

4.0

“The most interesting book I’ve ever read about math.” ―Kevin Roose, New York Times tech columnist and co-host of the Hard Fork podcastThe Proof in the Code tells the inside story of Lean, a computer program that answers the age-old question: How do you know if something is true? It began as an obscure bug-checking program at Microsoft Research developed by a lone computer engineer named Leo de Mo

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89

Deep Learning Cookbook: Practical Recipes to Get Started Quickly

Douwe Osinga

4.0

Deep learning doesn't have to be intimidating. Until recently, this machine-learning method required years of study, but with frameworks such as Keras and Tensorflow, software engineers without a background in machine learning can quickly enter the field. With the recipes in this cookbook, you'll learn how to solve deep-learning problems for classifying and generating text, images, and music.

Each

90

Project Maven: A Marine Colonel, His Team, and the Dawn of AI Warfare

Katrina Manson

4.0

The dramatic story of the secretive decade-long Pentagon campaign to bring AI-powered targeting systems onto the battlefield.In 2017, a small crew gathered in a windowless Pentagon room to put AI at the heart of how America makes war. Led by a Marine Corps colonel haunted by the deaths of US troops and prospect of AI-enhanced rivals, the Project Maven team raced to send AI into combat, igniting co

91

AI Snake Oil: What Artificial Intelligence Can Do, What It Can’t, and How to Tell the Difference

Arvind Narayanan

4.0

92

I Am Not a Robot: My Year Using AI to Do (Almost) Everything

Joanna Stern

4.0

What happens when intelligent machines aren’t just in our pockets but are also driving our cars, making our decisions, folding our laundry, and educating our kids?You’ve heard the hype: AI will make us healthier, give every child a personalized tutor, run our businesses more efficiently, return hours of free time to our overworked brains, and make discoveries previously unimagined by humankind. Th

93

Human Raised: Nurturing Connection, Curiosity & Lifelong Learning in the Age of AI

Dana Suskind MD

4.0

NATIONAL BESTSELLERFrom New York Times bestselling author Dana Suskind, a timely, urgent guide to parenting in the age of artificial intelligence—and protecting what matters most in childhood“A stunning book about how to protect our children—and our humanity—in the age of AI." —Adam Grant"Hope is not lost. It’s right here. If there is a young person in your life, Human Raised is for you." —Angela

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94

Prediction Machines: The Simple Economics of Artificial Intelligence

Ajay Agrawal, Joshua Gans, Avi Goldfarb

4.0

"What does AI mean for your business? Read this book to find out." -- Hal Varian, Chief Economist, Google

Artificial intelligence does the seemingly impossible, magically bringing machines to life--driving cars, trading stocks, and teaching children. But facing the sea change that AI will bring can be paralyzing. How should companies set strategies, governments design policies, and people plan thei

Recommended by Lawrence Summers, Dominic Barton, Kevin Kelly, and 1 others.

Lawrence Summers

Chief Economist/World Bank

AI may transform your life. And Prediction Machines will transform your understanding of AI. This is the best book yet on what may be the best technology that has come along. [source]

Dominic Barton

CEO/McKinsey

Prediction Machines achieves a feat as welcome as it is unique: a crisp, readable survey of where artificial intelligence is taking us separates hype from reality, while delivering a steady stream of fresh insights. It speaks in a language that top executives and policy makers will understand. Every leader needs to read this book. [source]

Kevin Kelly

This book makes artificial intelligence easier to understand by recasting it as a new, cheap commodity--predictions. It's a brilliant move. I found the book incredibly useful. [source]

95

AI Agents in Action, Second Edition: Intelligent workflows with LLMs, MCP, A2A, and more

Micheal Lanham

4.0

Get the eBook free when you register your print book at Manning."Great contents, broad coverage, fun exercises. This book has it all.”—Saurabh Sawant, MicrosoftAI Agents in Action, Second Edition is a substantial revision and update of the first edition. It is a practical and comprehensive guide to building AI agents—not just understanding what they are, but designing, implementing, evaluating, an

96

Supremacy: AI, ChatGPT, and the Race that Will Change the World

Parmy Olson

4.0

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97

Machine Learning: 4 Books in 1: A Complete Overview for Beginners to Master the Basics of Python Programming and Understand How to Build Artificial Intelligence Through Data Science

Ethem Mining

4.0

98

Quantum Supremacy: How the Quantum Computer Revolution Will Change Everything

Michio Kaku

4.0

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99

Fundamentals of Deep Learning: Designing Next-Generation Artificial Intelligence Algorithms

Nikhil Buduma, Nicholas Locascio

4.0

100

The Laws of Thought: The Quest for a Mathematical Theory of the Mind

Tom Griffiths

4.0

From the coauthor of Algorithms to Live By, an exploration of the quest to use mathematics to describe the ways we think, from its origins three hundred years ago to the ideas behind modern AI systems and the ways in which they still differ from human mindsEveryone has a basic understanding of how the physical world works. We learn about physics and chemistry in school, letting us explain the worl