Author: Brian Christian Publisher: Macmillan ISBN: 1627790365 Category : Business & Economics Languages : en Pages : 366
Book Description
'Algorithms to Live By' looks at the simple, precise algorithms that computers use to solve the complex 'human' problems that we face, and discovers what they can tell us about the nature and origin of the mind.
Author: Brian Christian Publisher: W. W. Norton & Company ISBN: 039363583X Category : Science Languages : en Pages : 459
Book Description
A jaw-dropping exploration of everything that goes wrong when we build AI systems and the movement to fix them. Today’s “machine-learning” systems, trained by data, are so effective that we’ve invited them to see and hear for us—and to make decisions on our behalf. But alarm bells are ringing. Recent years have seen an eruption of concern as the field of machine learning advances. When the systems we attempt to teach will not, in the end, do what we want or what we expect, ethical and potentially existential risks emerge. Researchers call this the alignment problem. Systems cull résumés until, years later, we discover that they have inherent gender biases. Algorithms decide bail and parole—and appear to assess Black and White defendants differently. We can no longer assume that our mortgage application, or even our medical tests, will be seen by human eyes. And as autonomous vehicles share our streets, we are increasingly putting our lives in their hands. The mathematical and computational models driving these changes range in complexity from something that can fit on a spreadsheet to a complex system that might credibly be called “artificial intelligence.” They are steadily replacing both human judgment and explicitly programmed software. In best-selling author Brian Christian’s riveting account, we meet the alignment problem’s “first-responders,” and learn their ambitious plan to solve it before our hands are completely off the wheel. In a masterful blend of history and on-the ground reporting, Christian traces the explosive growth in the field of machine learning and surveys its current, sprawling frontier. Readers encounter a discipline finding its legs amid exhilarating and sometimes terrifying progress. Whether they—and we—succeed or fail in solving the alignment problem will be a defining human story. The Alignment Problem offers an unflinching reckoning with humanity’s biases and blind spots, our own unstated assumptions and often contradictory goals. A dazzlingly interdisciplinary work, it takes a hard look not only at our technology but at our culture—and finds a story by turns harrowing and hopeful.
Author: Brian Christian Publisher: Anchor ISBN: 0307476707 Category : Psychology Languages : en Pages : 322
Book Description
A playful, profound book that is not only a testament to one man's efforts to be deemed more human than a computer, but also a rollicking exploration of what it means to be human in the first place. “Terrific. ... Art and science meet an engaged mind and the friction produces real fire.” —The New Yorker Each year, the AI community convenes to administer the famous (and famously controversial) Turing test, pitting sophisticated software programs against humans to determine if a computer can “think.” The machine that most often fools the judges wins the Most Human Computer Award. But there is also a prize, strange and intriguing, for the “Most Human Human.” Brian Christian—a young poet with degrees in computer science and philosophy—was chosen to participate in a recent competition. This
Author: Mykel J. Kochenderfer Publisher: MIT Press ISBN: 0262047012 Category : Computers Languages : en Pages : 701
Book Description
A broad introduction to algorithms for decision making under uncertainty, introducing the underlying mathematical problem formulations and the algorithms for solving them. Automated decision-making systems or decision-support systems—used in applications that range from aircraft collision avoidance to breast cancer screening—must be designed to account for various sources of uncertainty while carefully balancing multiple objectives. This textbook provides a broad introduction to algorithms for decision making under uncertainty, covering the underlying mathematical problem formulations and the algorithms for solving them. The book first addresses the problem of reasoning about uncertainty and objectives in simple decisions at a single point in time, and then turns to sequential decision problems in stochastic environments where the outcomes of our actions are uncertain. It goes on to address model uncertainty, when we do not start with a known model and must learn how to act through interaction with the environment; state uncertainty, in which we do not know the current state of the environment due to imperfect perceptual information; and decision contexts involving multiple agents. The book focuses primarily on planning and reinforcement learning, although some of the techniques presented draw on elements of supervised learning and optimization. Algorithms are implemented in the Julia programming language. Figures, examples, and exercises convey the intuition behind the various approaches presented.
Author: John MacCormick Publisher: Princeton University Press ISBN: 0691209057 Category : Computers Languages : en Pages : 232
Book Description
Nine revolutionary algorithms that power our computers and smartphones Every day, we use our computers to perform remarkable feats. A simple web search picks out a handful of relevant needles from the world's biggest haystack. Uploading a photo to Facebook transmits millions of pieces of information over numerous error-prone network links, yet somehow a perfect copy of the photo arrives intact. Without even knowing it, we use public-key cryptography to transmit secret information like credit card numbers, and we use digital signatures to verify the identity of the websites we visit. How do our computers perform these tasks with such ease? John MacCormick answers this question in language anyone can understand, using vivid examples to explain the fundamental tricks behind nine computer algorithms that power our PCs, tablets, and smartphones.
Author: Leslie Valiant Publisher: Basic Books (AZ) ISBN: 0465032710 Category : Science Languages : en Pages : 210
Book Description
Presenting a theory of the theoryless, a computer scientist provides a model of how effective behavior can be learned even in a world as complex as our own, shedding new light on human nature.
Author: Ali Almossawi Publisher: Penguin ISBN: 0735222231 Category : Science Languages : en Pages : 162
Book Description
A relatable, interactive, and funny exploration of algorithms, those essential building blocks of computer science—and of everyday life—from the author of the wildly popular Bad Arguments Algorithms—processes that are made up of unambiguous steps and do something useful—make up the very foundations of computer science. But they also inform our choices in approaching everyday tasks, from managing a pile of clothes fresh out of the dryer to deciding what music to listen to. With Bad Choices, Ali Almossawi presents twelve scenes from everyday life that help demonstrate and demystify the fundamental algorithms that drive computer science, bringing these seemingly elusive concepts into the understandable realms of the everyday. Readers will discover how: • Matching socks can teach you about search and hash tables • Planning trips to the store can demonstrate the value of stacks • Deciding what music to listen to shows why link analysis is all-important • Crafting a succinct Tweet draws on ideas from compression • Making your way through a grocery list helps explain priority queues and traversing graphs • And more As you better understand algorithms, you’ll also discover what makes a method faster and more efficient, helping you become a more nimble, creative problem-solver, ready to face new challenges. Bad Choices will open the world of algorithms to all readers, making this a perennial go-to for fans of quirky, accessible science books.
Author: Aditya Bhargava Publisher: Simon and Schuster ISBN: 1638353344 Category : Computers Languages : en Pages : 354
Book Description
"This book does the impossible: it makes math fun and easy!" - Sander Rossel, COAS Software Systems Grokking Algorithms is a fully illustrated, friendly guide that teaches you how to apply common algorithms to the practical problems you face every day as a programmer. You'll start with sorting and searching and, as you build up your skills in thinking algorithmically, you'll tackle more complex concerns such as data compression and artificial intelligence. Each carefully presented example includes helpful diagrams and fully annotated code samples in Python. Learning about algorithms doesn't have to be boring! Get a sneak peek at the fun, illustrated, and friendly examples you'll find in Grokking Algorithms on Manning Publications' YouTube channel. Continue your journey into the world of algorithms with Algorithms in Motion, a practical, hands-on video course available exclusively at Manning.com (www.manning.com/livevideo/algorithms-?in-motion). Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology An algorithm is nothing more than a step-by-step procedure for solving a problem. The algorithms you'll use most often as a programmer have already been discovered, tested, and proven. If you want to understand them but refuse to slog through dense multipage proofs, this is the book for you. This fully illustrated and engaging guide makes it easy to learn how to use the most important algorithms effectively in your own programs. About the Book Grokking Algorithms is a friendly take on this core computer science topic. In it, you'll learn how to apply common algorithms to the practical programming problems you face every day. You'll start with tasks like sorting and searching. As you build up your skills, you'll tackle more complex problems like data compression and artificial intelligence. Each carefully presented example includes helpful diagrams and fully annotated code samples in Python. By the end of this book, you will have mastered widely applicable algorithms as well as how and when to use them. What's Inside Covers search, sort, and graph algorithms Over 400 pictures with detailed walkthroughs Performance trade-offs between algorithms Python-based code samples About the Reader This easy-to-read, picture-heavy introduction is suitable for self-taught programmers, engineers, or anyone who wants to brush up on algorithms. About the Author Aditya Bhargava is a Software Engineer with a dual background in Computer Science and Fine Arts. He blogs on programming at adit.io. Table of Contents Introduction to algorithms Selection sort Recursion Quicksort Hash tables Breadth-first search Dijkstra's algorithm Greedy algorithms Dynamic programming K-nearest neighbors
Author: Pedro Domingos Publisher: Basic Books ISBN: 0465061923 Category : Computers Languages : en Pages : 354
Book Description
Recommended by Bill Gates 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 discusses what it will mean for business, science, and society. If data-ism is today's philosophy, this book is its bible.
Author: Catherine Besteman Publisher: University of Chicago Press ISBN: 022662756X Category : Social Science Languages : en Pages : 227
Book Description
Computerized processes are everywhere in our society. They are the automated phone messaging systems that businesses use to screen calls; the link between student standardized test scores and public schools’ access to resources; the algorithms that regulate patient diagnoses and reimbursements to doctors. The storage, sorting, and analysis of massive amounts of information have enabled the automation of decision-making at an unprecedented level. Meanwhile, computers have offered a model of cognition that increasingly shapes our approach to the world. The proliferation of “roboprocesses” is the result, as editors Catherine Besteman and Hugh Gusterson observe in this rich and wide-ranging volume, which features contributions from a distinguished cast of scholars in anthropology, communications, international studies, and political science. Although automatic processes are designed to be engines of rational systems, the stories in Life by Algorithms reveal how they can in fact produce absurd, inflexible, or even dangerous outcomes. Joining the call for “algorithmic transparency,” the contributors bring exceptional sensitivity to everyday sociality into their critique to better understand how the perils of modern technology affect finance, medicine, education, housing, the workplace, food production, public space, and emotions—not as separate problems but as linked manifestations of a deeper defect in the fundamental ordering of our society. Contributors Catherine Besteman, Alex Blanchette, Robert W. Gehl, Hugh Gusterson, Catherine Lutz, Ann Lutz Fernandez, Joseph Masco, Sally Engle Merry, Keesha M. Middlemass, Noelle Stout, Susan J. Terrio
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Author: Brian Christian
Author: Brian Christian
Author: Brian Christian
Author: Mykel J. Kochenderfer
Author: John MacCormick
Author: Leslie Valiant
Author: Ali Almossawi
Author: Aditya Bhargava
Author: Pedro Domingos
Author: Catherine Besteman