80 Best Deep Learning Books of All Time

We've researched and ranked the best deep learning books in the world, based on recommendations from world experts, sales data, and millions of reader ratings. Learn more

Featuring recommendations from Eric Schmidt, Tony Robbins, Barack Obama, and 131 other experts.
1

Deep Learning with Python

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 learning excels at solving machine perception problems: understanding the content of image data, video data, or sound data. Here's a simple example: say you have a large collection of...
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2

Deep Learning

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 need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by...
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Elon MuskWritten by three experts in the field, Deep Learning is the only comprehensive book on the subject. (Source)

Nassim Nicholas TalebVery 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 NadellaElon 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)

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3
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 will be like after this event--a human-machine civilization where our experiences shift from real reality to virtual reality and where our intelligence becomes nonbiological and...
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Mark O'ConnellI 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)

Antonio EramThis book was recommended by Antonio when asked for titles he would recommend to young people interested in his career path. (Source)

Steve AokiIt opened me up to the idea of science fiction becoming science fact. (Source)

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4

Gödel, Escher, Bach

An Eternal Golden Braid

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 attain human intelligence. Gödel, Escher, Bach is a wonderful exploration of fascinating ideas at the heart of cognitive science: meaning, reduction, recursion, and much more. less

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

Seth GodinIn 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)

Kevin KellyOver the years, I kept finding myself returning to its insights, and each time I would arrive at them at a deeper level. (Source)

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5
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 position. If machine brains surpassed human brains in general intelligence, then this new superintelligence could become extremely powerful--possibly beyond our control. As the fate of the...
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Elon MuskWorth reading Superintelligence by Bostrom. We need to be super careful with AI. Potentially more dangerous than nukes. (Source)

Maria RamosRamos 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... (Source)

Will MacAskillI 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... (Source)

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6
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 heat up, Lee urges the US and China to both accept and to embrace the great responsibilities that come with significant technological power. Most experts already say that AI will have a devastating... more

Yuval Noah HarariA superb and very timely survey of the impact of AI on the geopolitical system, the job market and human society. (Source)

Arianna HuffingtonKai-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... (Source)

Satya NadellaKai-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)

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7
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 TensorFlow-author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You'll learn a range of techniques, starting with simple...

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Recommended by Mark Tabladillo, and 1 others.

Mark TabladilloBook 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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8

An Introduction to Statistical Learning

With Applications in R

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 applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree- based methods, support vector machines, clustering, and more. Color graphics and... more
Recommended by Roger D. Peng, and 1 others.

Roger D. PengThis 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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9
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 through automation without leaving people lacking income or purpose? What career advice should we give today's kids? How can we make future AI systems more robust, so that they do...
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Barack ObamaAs 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... (Source)

Bill GatesAnyone who wants to discuss how artificial intelligence is shaping the world should read this book. (Source)

Elon MuskA compelling guide to the challenges and choices in our quest for a great future of life, intelligence and consciousness—on Earth and beyond. (Source)

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10
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 outcome all too predictable.

In this groundbreaking book, distinguished AI researcher Stuart Russell argues that this scenario can be avoided, but only if we...
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Elon MuskWorth reading. (Source)

Diane Coylethere’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 BorbaBook 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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Don't have time to read the top Deep Learning books of all time? Read Shortform summaries.

Shortform summaries help you learn 10x faster by:

  • Being comprehensive: you learn the most important points in the book
  • Cutting out the fluff: you focus your time on what's important to know
  • Interactive exercises: apply the book's ideas to your own life with our educators' guidance.
11

Neural Networks and Deep Learning

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 recognition, speech recognition, and natural language processing. This book will teach you the core concepts...
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12
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 Science books are 'must-read' classics of modern science writing which have crystallized big ideas, and shaped the way we think.
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Recommended by Jim Al-Khalili, and 1 others.

Jim Al-KhaliliIf 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)

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13

Pattern Recognition and Machine Learning

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 framework for describing and applying probabilistic models. Also, the practical applicability of Bayesian methods has been greatly enhanced through the development of a range of approximate inference... more

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14
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 continuously updated wiki that extends some book chapters with additional information: Q&A, code snippets, further reading, tools, and other relevant resources.
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Recommended by Kirk Borne, and 1 others.

Kirk BorneRecent 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)

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16
In as little as a decade, artificial intelligence could match, then surpass human intelligence. Corporations & government agencies around the world are pouring billions into achieving AI’s Holy Grail—human-level intelligence. Once AI has attained it, scientists argue, it will have survival drives much like our own. We may be forced to compete with a rival more cunning, more powerful & more alien than we can imagine. Thru profiles of tech visionaries, industry watchdogs & groundbreaking AI systems, James Barrat's Our Final Invention explores the perils of the heedless... more
Recommended by Elon Musk, and 1 others.

Elon MuskWhile on the subject of AI risk, Our Final Invention by @jrbarrat is also worth reading (Source)

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17
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 comprehensive and self-contained introduction to the field of machine learning, based on a unified, probabilistic approach.

The coverage combines breadth and depth, offering...
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Recommended by Kirk Borne, and 1 others.

Kirk Borne[Book] #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)

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18

The Naked Sun (Robot, #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, sent from the streets of New York with his positronic partner, the robot R. Daneel Olivaw, to solve an incredible murder that has rocked Solaria to its foundations. The victim had been so reclusive... more

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19

Grokking Deep Learning

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 superhuman performance on video games, driving cars, translating languages, and sometimes even helping law enforcement fight crime. Deep Learning is a revolution that is changing every industry across... more

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20
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 do. And not just during playtimes. "We believe there is play in work and work in play," they write. "It helps to have practical ways to carry that mindset into all aspects of the...
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Don't have time to read the top Deep Learning books of all time? Read Shortform summaries.

Shortform summaries help you learn 10x faster by:

  • Being comprehensive: you learn the most important points in the book
  • Cutting out the fluff: you focus your time on what's important to know
  • Interactive exercises: apply the book's ideas to your own life with our educators' guidance.
21

Design Patterns

Elements of Reusable Object-Oriented Software

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 describing what patterns are and how they can help you design object-oriented software. They then go on to systematically name, explain, evaluate, and catalog recurring designs in...
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22
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 exchanges that, again and again, gave the giant institutions an advantage over the little guy. Levine created a computerized trading hub named Island where small traders swapped stocks, and over time...
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23
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 successes, grand hopes, and emerging fears surrounding it.

In Artificial Intelligence, Mitchell turns to the most urgent questions concerning AI today: How...
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Recommended by David Shaywitz, and 1 others.

David ShaywitzReally 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)

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24
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 trained by scientist Janelle Shane, creator of the popular blog AI Weirdness. She creates silly AIs that learn how to name paint colors, create the best recipes,...
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Recommended by Robert Went, and 1 others.

Robert WentReading ‘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)

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25
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 topics.

Each recipe includes code that you can copy and paste into a toy dataset to ensure that it actually works. From there, you can insert, combine, or adapt the code to help construct your...
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Recommended by Dj Patil, Kirk Borne, and 2 others.

Dj PatilBecause @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)

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26

The Robots of Dawn (Robot #3)

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 Olivaw investigate yet another seemingly impossible crime - this time, a roboticide.

Someone has destroyed the positronic mind of R. Jander Panell, a humanoid twin to Daneel. His...
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27

The Book of Why

The New Science of Cause and Effect

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 colleagues, has cut through a century of confusion and established causality--the study of cause and effect--on a firm scientific basis. His work explains how we can know easy things,...
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Recommended by D.a. Wallach, Kirk Borne, and 2 others.

D.a. Wallach@EricTopol @yudapearl @bschoelkopf @MPI_IS I love @yudapearl 's book so much! Profound, heterodox. (Source)

Kirk Borne[email protected] 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)

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28
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 this data into knowledge. Automated speech recognition on our smart phones, web search...
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29
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 industry experience transforming deep learning research into award-winning applications, Anirudh Koul, Siddha Ganju, and Meher Kasam guide you through the process of converting an idea into...
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30
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 this book, psychologist Jon F. Wergin calls upon recent research in learning theory, social psychology, politics, and the arts to show how a deep learning mindset can be developed in both oneself and... more

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Don't have time to read the top Deep Learning books of all time? Read Shortform summaries.

Shortform summaries help you learn 10x faster by:

  • Being comprehensive: you learn the most important points in the book
  • Cutting out the fluff: you focus your time on what's important to know
  • Interactive exercises: apply the book's ideas to your own life with our educators' guidance.
31

Deep Learning

A Practitioner's Approach

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, and implement the core mathematics in their DL4J library. If you work in the embedded, desktop, and big data/Hadoop spaces and really want to understand deep learning, this is your book.
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32
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 spend $30-$50 USD on a dense long textbook, you may want to read this book first. As a clear and concise alternative to a textbook, this book provides a practical and high-level introduction to... more

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33

Reinforcement Learning

An Introduction

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 complex, uncertain environment. In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the field's key ideas and algorithms. This...
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Recommended by Zachary Lipton, and 1 others.

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)

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34
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 priests of the dark arts, the "data scientist," to extract this gold from your data? Nope.

Data science is little more than using straight-forward steps to process raw data into...
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35

Deep Learning with R

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 progress in recent years. Deep-learning systems now enable previously impossible smart applications, revolutionizing image recognition and...
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37

Advances in Financial Machine Learning

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; how to conduct research with ML algorithms on that data; how to use supercomputing methods; how to backtest your discoveries while avoiding false positives. The book addresses real-life problems faced... more

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38
“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 culture that values curiosity and deep learning. The centerpiece of this practical guide is Personal Digital Inquiry (PDI), a framework developed by Julie Coiro and implemented in...
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39
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 using that knowledge to create even more intelligent machines.

Kurzweil discusses how the brain functions, how the mind emerges from the brain, and the implications...
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Recommended by Naveen Jain, Sonja Mel, and 2 others.

Naveen JainThen the great book that Ray Kurzweil wrote, "How to Create a Mind" really tells you about how human brain works. (Source)

Sonja MelThis 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)

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40
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 imagination.

You'll learn the steps necessary to create a successful machine-learning application with Python and the scikit-learn library. Authors Andreas Muller and Sarah Guido focus on the...
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Recommended by Francesco Marconi, and 1 others.

Francesco MarconiTop 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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Don't have time to read the top Deep Learning books of all time? Read Shortform summaries.

Shortform summaries help you learn 10x faster by:

  • Being comprehensive: you learn the most important points in the book
  • Cutting out the fluff: you focus your time on what's important to know
  • Interactive exercises: apply the book's ideas to your own life with our educators' guidance.
42
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 of activators who design experiences that build global competencies using real-life problem solving; and supports schools, districts, and...
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43
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 destruction weapons, tackling terrorism and stopping the exploitation of innocent citizens by monster governments through digital surveillance. The book also talks about compassionate AI for... more

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44

I Am a Strange Loop

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 in our brain, one of many symbols seeming to have free will and to have gained the paradoxical ability to push particles around, rather than the reverse.

How can a mysterious...
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Recommended by Sam Freedman, and 1 others.

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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46

Woken Furies (Takeshi Kovacs, #3)

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 orbital platforms will burn you out of the sky.

And death doesn't just wait for you in the seas and the skies. On land, from the tropical beaches and swamps of Kossuth to the icy,...
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47
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, you’ll explore relevant material gleaned from numerous books, papers, blog posts, and the source code of several open source databases. These resources are listed at the end of parts one...
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48
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 Medicine, leading physician Eric Topol reveals how artificial intelligence can help. AI has the potential to transform everything doctors do, from...
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49
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 to give us a peek inside the learning machines that power Google, Amazon, and your smartphone. He assembles a blueprint for the future universal learner--the Master Algorithm--and...
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Recommended by Vinod Khosla, and 1 others.

Vinod KhoslaIf 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)

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50
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 business and government will operate in the 21st century.  

Siebel masterfully guides readers through a fascinating discussion of the game-changing technologies...
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Recommended by Eric Schmidt, Garry Kasparov, and 2 others.

Eric SchmidtUrgent 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 KasparovDigital 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)

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51
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-world ML application step-by-step.

Author Emmanuel Ameisen, who worked as a data scientist at Zipcar and led Insight Data Science's AI program, demonstrates key ML concepts with code snippets,...
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52
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 marketing. In fact, AI will dramatically change our entire society.

You might have heard that many jobs will be replaced by automation...
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Recommended by Mark S A Smith, and 1 others.

Mark S A SmithWill 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)

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53

Natural Language Processing with Python

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 of linguistic data structures, and you'll understand the main algorithms for analyzing the content and structure of written communication.

Packed with examples and exercises, Natural...
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54

Concrete Mathematics

A Foundation for Computer Science

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." less

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55
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 chapter consists of several recipes needed to complete a single project, such as training a music recommending system. Author Douwe Osinga also provides a chapter with half a dozen...
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56

Prediction Machines

The Simple Economics of Artificial Intelligence

"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 their lives for a world so different from what we know? In the face of such uncertainty, many analysts either cower in fear or predict an impossibly sunny future.

But in...
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Lawrence SummersAI 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 BartonPrediction 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 KellyThis 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)

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57
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, and related disciplines. The book includes modern topics like nonparametric curve estimation, bootstrapping, and clas- sification, topics that are usually relegated to follow-up courses. The reader... more

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Don't have time to read the top Deep Learning books of all time? Read Shortform summaries.

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62
Students become experts and innovators through Concept-Based teaching

Innovators don't invent without understanding how the world works. With this foundation, they apply conceptual understanding to solve problems. We want students to not only retain ideas, but relate them to other things they encounter, using each new situation to add nuance and sophistication to their thinking. Discover how to help learners uncover conceptual relationships and transfer them to new situations. Teachers will learn:
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63

AI and data analytics are powering a wave of technological innovations--understand them, cut through the hype, and seize the opportunities.

If you read nothing else on how intelligent machines are revolutionizing business, read these 10 articles. We've combed through hundreds of Harvard Business Review articles and selected the most important ones to reveal how these new technologies fit together, to explain what's coming next, and to help you prepare your company now.

In this book you'll learn how:

Data analytics and AI are yielding insights at an unprecedented...
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64

Dive Into Deep Learning

Tools for Engagement

Create learning experiences that transform not only learning, but life itself.

Learn about, improve, and expand your world of learning. This hands-on companion to the runaway best-seller, Deep Learning Engage the World Change the World, provides an essential roadmap for building capacity in teachers, schools, districts, and systems to design deep learning, measure progress, and assess conditions needed to activate and sustain innovation. Loaded with tips, tools, protocols, and real-world examples, the easy-to-use guide has everything educators...
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65
Science world luminary John Brockman assembles twenty-five of the most important scientific minds, people who have been thinking about the field artificial intelligence for most of their careers, for an unparalleled round-table examination about mind, thinking, intelligence and what it means to be human.

"Artificial intelligence is today's story--the story behind all other stories. It is the Second Coming and the Apocalypse at the same time: Good AI versus evil AI." --John Brockman

More than sixty years ago, mathematician-philosopher Norbert Wiener...
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Recommended by Gerd Leonhard, and 1 others.

Gerd LeonhardMore a set of reports and reflections, in his new book John Brockman assembles twenty-five of the most important scientific minds, for an unparalleled round-table examination about mind, thinking, intelligence and what it means to be human. A must read! (Source)

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67

Applied Artificial Intelligence

A Handbook for Business Leaders

Applied Artificial Intelligence is a practical guide for business leaders who are passionate about leveraging machine intelligence to enhance the productivity of their companies and the quality of life in their communities. If you love driving innovation by combining data, technology, design, and people to solve real problems at an enterprise scale, this is your playbook.
We teach you how to lead successful AI initiatives by prioritizing the right opportunities, building a diverse team of experts, conducting strategic experiments, and consciously designing your solutions to...
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Recommended by Kirk Borne, and 1 others.

Kirk BorneFantastic presentation on #ConversationalAI and #chatbots at #PegaWorld by @thinkmariya — check out: https://t.co/lOT50RlkWD @topbots #AI #MachineLearning #NLProc #NLU #NLG See also her book: https://t.co/pyWfEBnANU https://t.co/8q3uyDJXwU (Source)

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68
In this essential book written by a rural native and Silicon Valley veteran, Microsoft’s Chief technology officer tackles one of the most critical issues facing society today: the future of artificial intelligence and how it can be realistically used to promote growth, even in a shifting employment landscape.

There are two prevailing stories about AI: for heartland low- and middle-skill workers, a dystopian tale of steadily increasing job destruction; for urban knowledge workers and the professional class, a utopian tale of enhanced productivity and convenience....
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69

The Simulation Hypothesis

The Simulation Hypothesis, by best-selling author, renowned MIT computer scientist and Silicon Valley video game designer Rizwan Virk, is the first serious book to explain one of the most daring and consequential theories of our time. Riz is the Executive Director of Play Labs @ MIT, a video game startup incubator at the MIT Game Lab.

Drawing from research and concepts from computer science, artificial intelligence, video games, quantum physics, and referencing both speculative fiction and ancient eastern spiritual texts, Virk shows how all of these traditions come together to...
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70

Alexa for Dummies

Upgrade your Echo expertise with this Dummies guide to all things Alexa


Amazon's hugely popular family of Echo devices has made Alexa a household name. She can answer your questions, entertain you, and even help around the house. Alexa for Dummies is the perfect guide for Alexa users who want to get up and running with their Echo devices. From basic setup to making the most of Alexa's powerful smart home capabilities, this is your one-stop resource to all things Alexa.

Whether you'll use Alexa to send text messages, play music, control...
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75
This interdisciplinary scientific short book explores the mind at a conceptual level. It touches on its evolutionary development, its algorithmic nature and its scientific history by bridging ideas across Neuroscience, Computer Science, Biotechnology, Evolutionary History, Cognitive Science, Political Philosophy, and Artificial Intelligence.

Never before had there been nearly as many scientists, resources or productive research focused on these topics, and humanity has achieved some understanding and some clarification. With the speed of progress it is timely to communicate...
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77

Artificial Intelligence for Dummies

Step into the future with AI

The term "Artificial Intelligence" has been around since the 1950s, but a lot has changed since then. Today, AI is referenced in the news, books, movies, and TV shows, and the exact definition is often misinterpreted. Artificial Intelligence For Dummies provides a clear introduction to AI and how it's being used today.

Inside, you'll get a clear overview of the technology, the common misconceptions surrounding it, and a fascinating look at its applications in everything from self-driving cars and drones to its contributions in...
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78
Quick start guide to learning the fundamentals of computer vision and image processing using Python and OpenCV. less

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79
Explains the advances made over the past half-century, from Alan Turning's influential groundwork to cutting-edge robotics and the New AI. less

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80
Take a deep dive into deep learning

Deep learning provides the means for discerning patterns in the data that drive online business and social media outlets. Deep Learning for Dummies gives you the information you need to take the mystery out of the topic--and all of the underlying technologies associated with it.

In no time, you'll make sense of those increasingly confusing algorithms, and find a simple and safe environment to experiment with deep learning. The book develops a sense of precisely what deep learning can do at a high level and then...
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Don't have time to read the top Deep Learning books of all time? Read Shortform summaries.

Shortform summaries help you learn 10x faster by:

  • Being comprehensive: you learn the most important points in the book
  • Cutting out the fluff: you focus your time on what's important to know
  • Interactive exercises: apply the book's ideas to your own life with our educators' guidance.