Algorithms to Live By

Algorithms to Live By Author Brian Christian
ISBN-10 9781627790376
Year 2016-04-19
Pages 368
Language en
Publisher Henry Holt and Company
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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 favorites 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.

Algorithms to Live By

Algorithms to Live By Author Brian Christian
ISBN-10 0007547994
Year 2017-04-01
Pages 368
Language en
Publisher William Collins
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A fascinating exploration of how computer algorithms can be applied to our everyday lives. What should we do, or leave undone, in a day or a lifetime? Exploring how insights from computer algorithms can be applied to our everyday lives, âe~Algorithms To Live Byâe(tm) helps to solve common decision-making problems and illuminate the workings of the human mind. When should you switch between different tasks, and how many tasks should you take on in the first place? How much messiness should you accept? What balance of new activities and familiar favourites is the most fulfilling? When computers face constraints of time and space, they too must untangle very human questions: how to have better hunches, when to leave things to chance, how to deal with overwhelming choices and how best to connect with others. And the solutions theyâe(tm)ve found have much to teach us. Acclaimed author Brian Christian and cognitive scientist Tom Griffiths show how the algorithms developed for computers can be applied from finding your spouse to finding a parking spot, from organizing your inbox to understanding the workings of memory. Where you have a dilemma, they have a rule, and each fascinating algorithm turns the wisdom of computer science into strategies for human living.

The Most Human Human

The Most Human Human Author Brian Christian
ISBN-10 9780141971551
Year 2011-05-05
Pages 320
Language en
Publisher Penguin UK
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For the first time in history, we are interacting with computers so sophisticated that we think they're human beings. This is a remarkable feat of human ingenuity, but what does it say about our humanity? Are we really no better at being human than the machines we've created? By mimicking our behaviour and conversation, computers have recently come within a single vote of passing the Turing Test, the widely accepted threshold at which a machine can be said to be 'thinking' or 'intelligent'. In this witty, wide-ranging and inspiring investigation, Brian Christian takes the recent and breathtaking advances in artificial intelligence as the opportunity to rethink what it means to be human, and what it means to be intelligent, in the 21st century. Competing head-to-head with the world's leading AI programmes at the annual Turing Test competition, he uses their astonishing achievements as well as their equally fascinating failings to reveal our most human abilities: to learn, to communicate, to intuit and to understand. And in an age when computers may be steering us away from these activities, he shows us how to become the most human humans that we can be. Drawing on science, philosophy, literature and the arts, and touching on aspects of life as diverse as language, work, school, chess, speed-dating, art, video games, psychiatry and the law, The Most Human Human shows that that far from being a threat to our humanity, computers provide a better means than ever before of understanding what it is.

Bad Choices

Bad Choices Author Ali Almossawi
ISBN-10 9780735222236
Year 2017-04-04
Pages 160
Language en
Publisher Penguin
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The wildly popular author of Bad Arguments returns with a funny, smart introduction to algorithms—those perennially misunderstood, increasingly important problem-solving rules that can save you time and lead to better choices, every day. Why is Facebook so good at predicting what you like? How do you discover new music? What's the best way to sort your laundry? Readers around the world have embraced Ali Almossawi's whimsical illustrations—drawn by his collaborator Alejandro Giraldo—and his funny, clarifying explanations of complex subjects. In fewer than 200 pages, Almossawi demystifies a new topic of increasing relevance to our lives: algorithms. Bad Choices is a book for anyone who's looked at a given task and wondered if there was a better, faster way to get the task done. What's the best way to organize a grocery list? What's the secret to being more productive at work? How can we better express ourselves in 140-characters? Presenting us with alternative methods for tackling twelve different scenarios, Almossawi guides us to better choices that borrow from same systems that underline a computer word processor, a Google search engine, or a Facebook ad. Once you recognize what makes a method faster and more efficient, you'll 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. From the Hardcover edition.

Weapons of Math Destruction

Weapons of Math Destruction Author Cathy O'Neil
ISBN-10 9780141985428
Year 2016-09-06
Pages 272
Language en
Publisher Penguin UK
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A former Wall Street quant sounds an alarm on the mathematical models that pervade modern life - and threaten to rip apart our social fabric We live in the age of the algorithm. Increasingly, the decisions that affect our lives - where we go to school, whether we get a loan, how much we pay for insurance - are being made not by humans, but by mathematical models. In theory, this should lead to greater fairness: everyone is judged according to the same rules, and bias is eliminated. And yet, as Cathy O'Neil reveals in this urgent and necessary book, the opposite is true. The models being used today are opaque, unregulated, and incontestable, even when they're wrong. Most troubling, they reinforce discrimination. Tracing the arc of a person's life, O'Neil exposes the black box models that shape our future, both as individuals and as a society. These "weapons of math destruction" score teachers and students, sort CVs, grant or deny loans, evaluate workers, target voters, and monitor our health. O'Neil calls on modellers to take more responsibility for their algorithms and on policy makers to regulate their use. But in the end, it's up to us to become more savvy about the models that govern our lives. This important book empowers us to ask the tough questions, uncover the truth, and demand change.

The Seven Pillars of Statistical Wisdom

The Seven Pillars of Statistical Wisdom Author Stephen M. Stigler
ISBN-10 9780674970212
Year 2016-03-07
Pages 240
Language en
Publisher Harvard University Press
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What gives statistics its unity as a science? Stephen Stigler sets forth the seven foundational ideas of statistics—a scientific discipline related to but distinct from mathematics and computer science and one which often seems counterintuitive. His original account will fascinate the interested layperson and engage the professional statistician.

The Algorithm Design Manual

The Algorithm Design Manual Author Steven S Skiena
ISBN-10 9781848000704
Year 2009-04-05
Pages 730
Language en
Publisher Springer Science & Business Media
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This newly expanded and updated second edition of the best-selling classic continues to take the "mystery" out of designing algorithms, and analyzing their efficacy and efficiency. Expanding on the first edition, the book now serves as the primary textbook of choice for algorithm design courses while maintaining its status as the premier practical reference guide to algorithms for programmers, researchers, and students. The reader-friendly Algorithm Design Manual provides straightforward access to combinatorial algorithms technology, stressing design over analysis. The first part, Techniques, provides accessible instruction on methods for designing and analyzing computer algorithms. The second part, Resources, is intended for browsing and reference, and comprises the catalog of algorithmic resources, implementations and an extensive bibliography. NEW to the second edition: • Doubles the tutorial material and exercises over the first edition • Provides full online support for lecturers, and a completely updated and improved website component with lecture slides, audio and video • Contains a unique catalog identifying the 75 algorithmic problems that arise most often in practice, leading the reader down the right path to solve them • Includes several NEW "war stories" relating experiences from real-world applications • Provides up-to-date links leading to the very best algorithm implementations available in C, C++, and Java

The Master Algorithm

The Master Algorithm Author Pedro Domingos
ISBN-10 9780241004555
Year 2015-09-22
Pages 352
Language en
Publisher Penguin UK
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A spell-binding quest for the one algorithm capable of deriving all knowledge from data, including a cure for cancer Society is changing, one learning algorithm at a time, from search engines to online dating, personalized medicine to predicting the stock market. But learning algorithms are not just about Big Data - these algorithms take raw data and make it useful by creating more algorithms. This is something new under the sun: a technology that builds itself. In The Master Algorithm, Pedro Domingos reveals how machine learning is remaking business, politics, science and war. And he takes us on an awe-inspiring quest to find 'The Master Algorithm' - a universal learner capable of deriving all knowledge from data.

Mathematics for the Nonmathematician

Mathematics for the Nonmathematician Author Morris Kline
ISBN-10 9780486316130
Year 2013-04-15
Pages 672
Language en
Publisher Courier Corporation
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Erudite and entertaining overview follows development of mathematics from ancient Greeks to present. Topics include logic and mathematics, the fundamental concept, differential calculus, probability theory, much more. Exercises and problems.

Algorithms For Dummies

Algorithms For Dummies Author John Paul Mueller
ISBN-10 9781119330493
Year 2017-02-21
Pages 320
Language en
Publisher John Wiley & Sons
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Algorithms For Dummies addresses people who are interested in algorithms without requiring them to pursue a PhD on the subject. The idea is that we already live in a world where algorithms are behind most of the technology we use, so we need to understand them better. In order to make this happen, the book would present the major areas comprising algorithms (optimization, sort, graph, hash, string, dynamic programming) telling the history behind algorithms, presenting actual applications, simply explaining the nuts and bolts of the algorithm. For readers who are interested, the book presents an implementation in Python and some experiments with them, so they can get hands on experience developing an algorithm from start to finish. The goal is to create an accessible introduction to algorithms, so that the reader can understand how the key algorithms work and how to benefit from algorithms when working on projects and implementing them in business strategy.

The Mathematical Corporation

The Mathematical Corporation Author Josh Sullivan
ISBN-10 9781610397896
Year 2017-06-06
Pages 304
Language en
Publisher Hachette UK
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The most powerful weapon in business today is the alliance between the mathematical smarts of machines and the imaginative human intellect of great leaders. Together they make the mathematical corporation, the business model of the future. We are at a once-in-a-decade breaking point similar to the quality revolution of the 1980s and the dawn of the internet age in the 1990s: leaders must transform how they run their organizations, or competitors will bring them crashing to earth--often overnight. Mathematical corporations--the organizations that will master the future--will outcompete high-flying rivals by merging the best of human ingenuity with machine intelligence. While smart machines are weapon number one for organizations, leaders are still the drivers of breakthroughs. Only they can ask crucial questions to capitalize on business opportunities newly discovered in oceans of data. This dynamic combination will make possible the fulfillment of missions that once seemed out of reach, even impossible to attain. Josh Sullivan and Angela Zutavern's extraordinary examples include the entrepreneur who upended preventive health care, the oceanographer who transformed fisheries management, and the pharmaceutical company that used algorithm-driven optimization to boost vaccine yields. Together they offer a profoundly optimistic vision for a dazzling new phase in business, and a playbook for how smart companies can manage the essential combination of human and machine.

Thinking

Thinking Author Mr. John Brockman
ISBN-10 9780062258564
Year 2013-10-29
Pages 432
Language en
Publisher Harper Collins
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Unlock your mind From the bestselling authors of Thinking, Fast and Slow; The Black Swan; and Stumbling on Happiness comes a cutting-edge exploration of the mysteries of rational thought, decision-making, intuition, morality, willpower, problem-solving, prediction, forecasting, unconscious behavior, and beyond. Edited by John Brockman, publisher of Edge.org ("The world's smartest website"—The Guardian), Thinking presents original ideas by today's leading psychologists, neuroscientists, and philosophers who are radically expanding our understanding of human thought. Daniel Kahneman on the power (and pitfalls) of human intuition and "unconscious" thinking • Daniel Gilbert on desire, prediction, and why getting what we want doesn't always make us happy • Nassim Nicholas Taleb on the limitations of statistics in guiding decision-making • Vilayanur Ramachandran on the scientific underpinnings of human nature • Simon Baron-Cohen on the startling effects of testosterone on the brain • Daniel C. Dennett on decoding the architecture of the "normal" human mind • Sarah-Jayne Blakemore on mental disorders and the crucial developmental phase of adolescence • Jonathan Haidt, Sam Harris, and Roy Baumeister on the science of morality, ethics, and the emerging synthesis of evolutionary and biological thinking • Gerd Gigerenzer on rationality and what informs our choices

Causal Inference in Statistics

Causal Inference in Statistics Author Judea Pearl
ISBN-10 9781119186847
Year 2016-03-07
Pages 160
Language en
Publisher John Wiley & Sons
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Causal Inference in Statistics: A Primer Judea Pearl, Computer Science and Statistics, University of California Los Angeles, USA Madelyn Glymour, Philosophy, Carnegie Mellon University, Pittsburgh, USA and Nicholas P. Jewell, Biostatistics, University of California, Berkeley, USA Causality is central to the understanding and use of data. Without an understanding of cause effect relationships, we cannot use data to answer questions as basic as, “Does this treatment harm or help patients?” But though hundreds of introductory texts are available on statistical methods of data analysis, until now, no beginner-level book has been written about the exploding arsenal of methods that can tease causal information from data. Causal Inference in Statistics fills that gap. Using simple examples and plain language, the book lays out how to define causal parameters; the assumptions necessary to estimate causal parameters in a variety of situations; how to express those assumptions mathematically; whether those assumptions have testable implications; how to predict the effects of interventions; and how to reason counterfactually. These are the foundational tools that any student of statistics needs to acquire in order to use statistical methods to answer causal questions of interest. This book is accessible to anyone with an interest in interpreting data, from undergraduates, professors, researchers, or to the interested layperson. Examples are drawn from a wide variety of fields, including medicine, public policy, and law; a brief introduction to probability and statistics is provided for the uninitiated; and each chapter comes with study questions to reinforce the readers understanding.