Pedro Domingos

Pedro Domingos

Professor of computer science at UW and author of 'The Master Algorithm'. Into #MachineLearning, #AI, #DataScience, and anything that makes me curious.

10+ Book Recommendations by Pedro Domingos

  • Surfaces and Essences

    Douglas Hofstadter

    Shows how analogy-making pervades human thought at all levels, influencing the choice of words and phrases in speech, providing guidance in unfamiliar situations, and giving rise to great acts of imagination.

    I really think the shortest path to human-level AI is operationalizing the insights in this book:

  • Surfaces and Essences

    Douglas Hofstadter

    Shows how analogy-making pervades human thought at all levels, influencing the choice of words and phrases in speech, providing guidance in unfamiliar situations, and giving rise to great acts of imagination.

    Reading this extremely insightful book is a great antidote to the overly simplistic notions of concept learning that currently prevail in ML:

  • More from Less

    Andrew McAfee

    From the coauthor of the New York Times bestseller The Second Machine Age, a compelling argument—masterfully researched and brilliantly articulated—that we have at last learned how to increase human prosperity while treading more lightly on our planet. Throughout history, the only way for humanity to grow was by degrading the Earth: chopping down forests, fouling the air and water, and endlessly digging out resources. Since the first Earth Day in 1970, the reigning argument has been that taking better care of the planet means radically changing course: reducing our consumption, tightening our belts, learning to share and reuse, restraining growth. Is that argument correct? Absolutely not. In More from Less, McAfee argues that to solve our ecological problems we don’t need to make radical changes. Instead, we need to do more of what we’re already doing: growing technologically sophisticated market-based economies around the world. How can he possibly make this claim? Because of the evidence. America—a large, high-tech country that accounts for about 25% of the global economy—is now generally using less of most resources year after year, even as its economy and population continue to grow. What’s more, the US is polluting the air and water less, emitting fewer greenhouse gases, and replenishing endangered animal populations. And, as McAfee shows, America is not alone. Other countries are also transforming themselves in fundamental ways. What has made this turnabout possible? One thing, primarily: the collaboration between technology and capitalism, although good governance and public awareness have also been critical. McAfee does warn of issues that haven’t been solved, like global warming, overfishing, and communities left behind as capitalism and tech progress race forward. But overall, More from Less is a revelatory, paradigm-shifting account of how we’ve stumbled into an unexpectedly better balance with nature—one that holds out the promise of more abundant and greener centuries ahead.

    The central paradox of our time is that GDP continues to grow while resource consumption shrinks. This brilliant book by @amcafee explains how:

  • Rebooting AI

    Gary Marcus

    Two leaders in the field offer a compelling analysis of the current state of the art and reveal the steps we must take to achieve a truly robust artificial intelligence. Despite the hype surrounding AI, creating an intelligence that rivals or exceeds human levels is far more complicated than we have been led to believe. Professors Gary Marcus and Ernest Davis have spent their careers at the forefront of AI research and have witnessed some of the greatest milestones in the field, but they argue that a computer beating a human in Jeopardy! does not signal that we are on the doorstep of fully autonomous cars or superintelligent machines. The achievements in the field thus far have occurred in closed systems with fixed sets of rules, and these approaches are too narrow to achieve genuine intelligence. The real world, in contrast, is wildly complex and open-ended. How can we bridge this gap? What will the consequences be when we do? Taking inspiration from the human mind, Marcus and Davis explain what we need to advance AI to the next level, and suggest that if we are wise along the way, we won't need to worry about a future of machine overlords. If we focus on endowing machines with common sense and deep understanding, rather than simply focusing on statistical analysis and gatherine ever larger collections of data, we will be able to create an AI we can trust--in our homes, our cars, and our doctors' offices. Rebooting AI provides a lucid, clear-eyed assessment of the current science and offers an inspiring vision of how a new generation of AI can make our lives better.

    Yoshua Bengio says that if you want to win the next Turing Award you should work on something other than deep learning. Reading this book is a good place to start:

  • Master Algorithm

    Pedro Domingos

    Algorithms increasingly run our lives. They find books, movies, jobs, and dates for us, manage our investments, and discover new drugs. More and more, these algorithms work by learning from the trails of data we leave in our newly digital world. Like curious children, they observe us, imitate, and experiment. And 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. Machine learning is the automation of discovery--the scientific method on steroids--that enables intelligent robots and computers to program themselves. No field of science today is more important yet more shrouded in mystery. Pedro Domingos, one of the field’s leading lights, lifts the veil for the first time to give us a peek inside the learning machines that power Google, Amazon, and your smartphone. He charts a course through machine learning’s five major schools of thought, showing how they turn ideas from neuroscience, evolution, psychology, physics, and statistics into algorithms ready to serve you. Step by step, he assembles a blueprint for the future universal learner--the Master Algorithm--and discusses what it means for you, and for the future of business, science, and society. If data-ism is today’s rising philosophy, this book will be its bible. The quest for universal learning is one of the most significant, fascinating, and revolutionary intellectual developments of all time. A groundbreaking book,The Master Algorithm is the essential guide for anyone and everyone wanting to understand not just how the revolution will happen, but how to be at its forefront.

    Everything you always wanted to know about machine learning: #MachineLearning #AI #DataScience

  • Algorithms to Live By

    Brian Christian

    A fascinating exploration of how computer algorithms can be applied to our everyday lives, helping to solve common decision-making problems and illuminate the workings of the human mind All our lives are constrained by limited space and time, limits that give rise to a particular set of problems. What should we do, or leave undone, in a day or a lifetime? How much messiness should we accept? What balance of new activities and familiar favourites is the most fulfilling? These may seem like uniquely human quandaries, but they are not: computers, too, face the same constraints, so computer scientists have been grappling with their version of such problems for decades. And the solutions they've found have much to teach us. In a dazzlingly interdisciplinary work, acclaimed author Brian Christian (who holds degrees in computer science, philosophy, and poetry, and works at the intersection of all three) and Tom Griffiths (a UC Berkeley professor of cognitive science and psychology) show how the simple, precise algorithms used by computers can also untangle very human questions. They explain how to have better hunches and when to leave things to chance, how to deal with overwhelming choices and how best to connect with others. From finding a spouse to finding a parking spot, from organizing one's inbox to understanding the workings of human memory, Algorithms to Live By transforms the wisdom of computer science into strategies for human living."

    A burgeoning new genre - books about algorithms and what they mean for us:

  • Army of None

    Paul Scharre

    A Pentagon defense expert and former U.S. Army Ranger explores what it would mean to give machines authority over the ultimate decision of life or death.

    @Paul_Scharre's fascinating book on how autonomous weapons are radically transforming warfare, and the decisions we have to make about them:

  • Data for the People

    Andreas Weigend

    Every time we Google something, Facebook someone, Uber somewhere, or even just turn on a light, we create data that businesses collect and use to make decisions about us. In many ways this has improved our lives, yet, we as individuals do not benefit from this wealth of data as much as we could. Moreover, whether it is a bank evaluating our credit worthiness, an insurance company determining our risk level, or a potential employer deciding whether we get a job, it is likely that this data will be used against us rather than for us. In Data for the People, Andreas Weigend draws on his years as a consultant for commerce, education, healthcare, travel and finance companies to outline how Big Data can work better for all of us. As of today, how much we benefit from Big Data depends on how closely the interests of big companies align with our own. Too often, outdated standards of control and privacy force us into unfair contracts with data companies, but it doesn’t have to be this way. Weigend makes a powerful argument that we need to take control of how our data is used to actually make it work for us. Only then can we the people get back more from Big Data than we give it. Big Data is here to stay. Now is the time to find out how we can be empowered by it.

    The best book I've read yet on issues of privacy and data sharing:

  • Number

    Tobias Dantzig

    A new edition of the classic introduction to mathematics, first published in 1930 and revised in the 1950s, explains the history and tenets of mathematics, including the relationship of mathematics to the other sciences and profiles of the luminaries whose research expanded the human concept of number. Reprint. 25,000 first printing.

    One of the best books on mathematics I've ever read:

  • Artificial intelligence (AI) is a field within computer science that is attempting to build enhanced intelligence into computer systems. This book traces the history of the subject, from the early dreams of eighteenth-century (and earlier) pioneers to the more successful work of today's AI engineers. AI is becoming more and more a part of everyone's life. The technology is already embedded in face-recognizing cameras, speech-recognition software, Internet search engines, and health-care robots, among other applications. The book's many diagrams and easy-to-understand descriptions of AI programs will help the casual reader gain an understanding of how these and other AI systems actually work. Its thorough (but unobtrusive) end-of-chapter notes containing citations to important source materials will be of great use to AI scholars and researchers. This book promises to be the definitive history of a field that has captivated the imaginations of scientists, philosophers, and writers for centuries.

    @jackclarkSF @MelMitchell1 Read Nils Nilsson's "The Quest for AI".

  • Instant New York Times Bestseller "Short and resonant. . . . The essays in Seven Brief Lessons on Physics arrive like shots of espresso."--The New York Times "A startling and illustrative distillation of centuries of science."--The Economist "Lean, lucid and enchanting."--New Scientist The international bestseller that reveals all the beauty of modern physics in seven short and enlightening lessons Seven Brief Lessons on Physics is a book about the joy of discovery. Carlo Rovelli brings a playful, entertaining, and mind-bending introduction to modern physics, offering surprising--and surprisingly easy to grasp--explanations of Einstein's general relativity, quantum mechanics, elementary particles, gravity, black holes, the complex architecture of the universe, and the role humans play in this weird and wonderful world. He takes us to the frontiers of our knowledge: to the most minute reaches of the fabric of space, back to the origins of the cosmos, and into the workings of our minds. "Here, on the edge of what we know, in contact with the ocean of the unknown, shines the mystery and the beauty of the world," Rovelli writes. "And it's breathtaking."

    The best book on physics since Feynman, just published in the U.S.:

  • The Magic of Math

    Arthur Benjamin

    My kid loved this book:

  • The Righteous Mind

    Jonathan Haidt

    Presents a groundbreaking investigation into the origins of morality at the core of religion and politics, offering scholarly insight into the motivations behind cultural clashes that are polarizing America.

    Dear liberals & conservatives, what's the point of arguing about the conclusions if you disagree about the premises?

  • The Master Algorithm

    Pedro Domingos

    @nntaleb, learn to predict black swans with

  • If you want to outsmart a crook, learn his tricks—Darrell Huff explains exactly how in the classic How to Lie with Statistics. From distorted graphs and biased samples to misleading averages, there are countless statistical dodges that lend cover to anyone with an ax to grind or a product to sell. With abundant examples and illustrations, Darrell Huff’s lively and engaging primer clarifies the basic principles of statistics and explains how they’re used to present information in honest and not-so-honest ways. Now even more indispensable in our data-driven world than it was when first published, How to Lie with Statistics is the book that generations of readers have relied on to keep from being fooled.

    "How to Lie with Statistics" needs an update. "How to Lie with Big Data"?

  • The Master Algorithm

    Pedro Domingos

    You can now look inside #TheMasterAlgorithm: (Check out pages xiv-xxi for a summary of the book.)

  • The Master Algorithm

    Pedro Domingos

    What's to inductive reasoning what a universal Turing machine is to deductive reasoning?

  • Aztec

    Gary Jennings

    The epic tale of an Aztec survivor of the Spanish conquest and his times as a warrior, scribe, travelling merchant, confidant of Motecuhzoma II, and envoy to the invading Spaniards.

    Best summer read of all time: 'Aztec,' by Gary Jennings.