Algorithms to Live By: The Computer Science of Human Decisions

Algorithms to Live By: The Computer Science of Human Decisions Author Brian Christian
ISBN-10 9781627790369
Release 2016-04-19
Publisher Henry Holt and Co.
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A fascinating exploration of how insights from 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 issues for decades. And the solutions they've found have much to teach us.

In a dazzlingly interdisciplinary work, acclaimed author Brian Christian and cognitive scientist Tom Griffiths show how the 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 memory, Algorithms to Live By transforms the wisdom of computer science into strategies for human living.



Work Rules!: Insights from Inside Google That Will Transform How You Live and Lead

Work Rules!: Insights from Inside Google That Will Transform How You Live and Lead Author Laszlo Bock
ISBN-10 9781455554799
Release 2015-04-07
Publisher Twelve
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NEW YORK TIMES BESTSELLER
WALL STREET JOURNAL BESTSELLER

The Globe and Mail Top Leadership and Management Book
Forbes Top Creative Leadership Book

From the visionary head of Google's innovative People Operations comes a groundbreaking inquiry into the philosophy of work-and a blueprint for attracting the most spectacular talent to your business and ensuring that they succeed.

"We spend more time working than doing anything else in life. It's not right that the experience of work should be so demotivating and dehumanizing." So says Laszlo Bock, former head of People Operations at the company that transformed how the world interacts with knowledge.

This insight is the heart of WORK RULES!, a compelling and surprisingly playful manifesto that offers lessons including:

  • Take away managers' power over employees
  • Learn from your best employees-and your worst
  • Hire only people who are smarter than you are, no matter how long it takes to find them
  • Pay unfairly (it's more fair!)
  • Don't trust your gut: Use data to predict and shape the future
  • Default to open-be transparent and welcome feedback
  • If you're comfortable with the amount of freedom you've given your employees, you haven't gone far enough.


Drawing on the latest research in behavioral economics and a profound grasp of human psychology, WORK RULES! also provides teaching examples from a range of industries-including lauded companies that happen to be hideous places to work and little-known companies that achieve spectacular results by valuing and listening to their employees. Bock takes us inside one of history's most explosively successful businesses to reveal why Google is consistently rated one of the best places to work in the world, distilling 15 years of intensive worker R&D into principles that are easy to put into action, whether you're a team of one or a team of thousands.

WORK RULES! shows how to strike a balance between creativity and structure, leading to success you can measure in quality of life as well as market share. Read it to build a better company from within rather than from above; read it to reawaken your joy in what you do.



Algorithms to Live By: The Computer Science of Human Decisions [4/4/2017] Brian Christian

Algorithms to Live By: The Computer Science of Human Decisions [4/4/2017] Brian Christian Author Brian Christian;Tom Griffiths
ISBN-10 0781349162375
Release
Publisher Picador
Download Link Click Here

What should we do, or leave undone, in a day or a lifetime? How much messiness should we accept? What balance of the new and familiar is the most fulfilling? These may seem like uniquely human quandaries, but they are not. Computers, like us, confront limited space and time, so computer scientists have been grappling with similar problems for decades. And the solutions they?€?ve found have much to teach us.In a dazzlingly interdisciplinary work, Brian Christian and Tom Griffiths show how algorithms developed for computers 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 peering into the future, 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 9781627790376
Release 2016-04-19
Pages 368
Download Link Click Here

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 The Computer Science of Human Decisions

Algorithms to Live By  The Computer Science of Human Decisions Author Brian Christian
ISBN-10 9780007547982
Release 2016-04-19
Pages 368
Download Link Click Here

A fascinating exploration of how computer algorithms can be applied to our everyday lives.



Algorithms to Live By

Algorithms to Live By Author Brian Christian
ISBN-10 0007547994
Release 2017-04-01
Pages 368
Download Link Click Here

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
Release 2011-05-05
Pages 320
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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
Release 2017-04-04
Pages 160
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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
Release 2016-09-06
Pages 272
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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 Power of Algorithms

The Power of Algorithms Author Giorgio Ausiello
ISBN-10 9783642396526
Release 2013-11-08
Pages 255
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To examine, analyze, and manipulate a problem to the point of designing an algorithm for solving it is an exercise of fundamental value in many fields. With so many everyday activities governed by algorithmic principles, the power, precision, reliability and speed of execution demanded by users have transformed the design and construction of algorithms from a creative, artisanal activity into a full-fledged science in its own right. This book is aimed at all those who exploit the results of this new science, as designers and as consumers. The first chapter is an overview of the related history, demonstrating the long development of ideas such as recursion and more recent formalizations such as computability. The second chapter shows how the design of algorithms requires appropriate techniques and sophisticated organization of data. In the subsequent chapters the contributing authors present examples from diverse areas – such as routing and networking problems, Web search, information security, auctions and games, complexity and randomness, and the life sciences – that show how algorithmic thinking offers practical solutions and also deepens domain knowledge. The contributing authors are top-class researchers with considerable academic and industrial experience; they are also excellent educators and communicators and they draw on this experience with enthusiasm and humor. This book is an excellent introduction to an intriguing domain and it will be enjoyed by undergraduate and postgraduate students in computer science, engineering, and mathematics, and more broadly by all those engaged with algorithmic thinking.



The Seven Pillars of Statistical Wisdom

The Seven Pillars of Statistical Wisdom Author Stephen M. Stigler
ISBN-10 9780674970212
Release 2016-03-07
Pages 240
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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 Master Algorithm

The Master Algorithm Author Pedro Domingos
ISBN-10 9780241004555
Release 2015-09-22
Pages 352
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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.



Summary of Algorithms to Live By

Summary of Algorithms to Live By Author Instaread
ISBN-10 9781683784791
Release 2016-09-07
Pages 43
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Summary of Algorithms to Live By by Brian Christian and Tom Griffiths | Includes Analysis Preview: Algorithms to Live By by Brian Christian and Tom Griffiths is an immersive look at the history and development of several algorithms used to solve computer science problems. It also considers potential applications of algorithms in human life including memory storage and network communication. One such computer science problem is the optimal stopping problem, the mathematical puzzle for determining how long to review options and gather data before settling on the best choice available. The algorithm, based on statistical analysis, shows that there is an optimal place or time to stop researching options or solutions to a problem and instead commit to the next option that’s just as good as those already considered. Similarly, the mathematical way to decide whether to try something new or stick with the familiar choice is expressed by the Gittins Index score of any given alternative. It values a complete unknown more highly than a… PLEASE NOTE: This is key takeaways and analysis of the book and NOT the original book. Inside this Instaread Summary of Algorithms to Live By by Brian Christian and Tom Griffiths | Includes Analysis · Overview of the Book · Important People · Key Takeaways · Analysis of Key Takeaways About the Author With Instaread, you can get the key takeaways, summary and analysis of a book in 15 minutes. We read every chapter, identify the key takeaways and analyze them for your convenience. Visit our website at instaread.co.



The Ten Types of Human

The Ten Types of Human Author Dexter Dias
ISBN-10 9781473519374
Release 2017-06-01
Pages 848
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'I emerged from this book feeling better about almost everything... a mosaic of faces building into this extraordinary portrait of our species.' Guardian 'Uplifting and indispensable.' Howard Cunnell This book will introduce you to ten people. In a way, you already know them. Only you don’t – not really. In a sense, they are you. Only they’re not entirely. They inform and shape the most important decisions in your life. But you’re almost certainly unaware of their intervention. They are the Ten Types of Human. Who are they? What are they for? How did they get into your head? We want to believe that there are some things we would never do. We want to believe that there are others we always would. But how can we be sure? What are our limits? Do we have limits? The answer lies with the Ten Types of Human: the people we become when we are faced with life's most difficult decisions. But who or what are these Types? Where do they come from? How did they get into our heads? The Ten Types of Human is a pioneering examination of human nature. It looks at the best and worst that human beings are capable of, and asks why. It explores the frontiers of the human experience, excavating the forces that shape our thoughts and actions in extreme situations. It begins in a courtroom and journeys across four continents and through the lives of some exceptional people, in search of answers. Mixing cutting-edge neuroscience, social psychology and human rights research, The Ten Types of Human is at once a provocation and a map to our hidden selves. It provides a new understanding of who we are – and who we can be.



The Formula

The Formula Author Luke Dormehl
ISBN-10 9780753549254
Release 2014-04-03
Pages 304
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What if everything in life could be reduced to a simple formula? What if numbers were able to tell us which partners we were best matched with – not just in terms of attractiveness, but for a long-term committed marriage? Or if they could say which films would be the biggest hits at the box office, and what changes could be made to those films to make them even more successful? Or even who out of us is likely to commit certain crimes, and when? This may sound like the world of science-fiction, but in fact it is just the tip of the iceberg in a world that is increasingly ruled by complex algorithms and neural networks. In The Formula, Luke Dormehl takes you inside the world of numbers, asking how we came to believe in the all-conquering power of algorithms; introducing the mathematicians, artificial intelligence experts and Silicon Valley entrepreneurs who are shaping this brave new world, and ultimately asking how we survive in an era where numbers can sometimes seem to create as many problems as they solve.



Mindware

Mindware Author Richard E. Nisbett
ISBN-10 9780374710675
Release 2015-08-18
Pages 336
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"The most influential thinker, in my life, has been the psychologist Richard Nisbett. He basically gave me my view of the world." -Malcolm Gladwell, New York Times Book Review Scientific and philosophical concepts can change the way we solve problems by helping us to think more effectively about our behavior and our world. Surprisingly, despite their utility, many of these tools remain unknown to most of us. In Mindware, the world-renowned psychologist Richard E. Nisbett presents these ideas in clear and accessible detail. Nisbett has made a distinguished career of studying and teaching such powerful problem-solving concepts as the law of large numbers, statistical regression, cost-benefit analysis, sunk costs and opportunity costs, and causation and correlation, probing the best methods for teaching others how to use them effectively in their daily lives. In this groundbreaking book, Nisbett shows us how to frame common problems in such a way that these scientific and statistical principles can be applied to them. The result is an enlightening and practical guide to the most essential tools of reasoning ever developed-tools that can easily be used to make better professional, business, and personal decisions.



Overcomplicated

Overcomplicated Author Samuel Arbesman
ISBN-10 9780698189195
Release 2016-07-19
Pages 256
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Why did the New York Stock Exchange suspend trading without warning on July 8, 2015? Why did certain Toyota vehicles accelerate uncontrollably against the will of their drivers? Why does the programming inside our airplanes occasionally surprise its creators? After a thorough analysis by the top experts, the answers still elude us. You don’t understand the software running your car or your iPhone. But here’s a secret: neither do the geniuses at Apple or the Ph.D.’s at Toyota—not perfectly, anyway. No one, not lawyers, doctors, accountants, or policy makers, fully grasps the rules governing your tax return, your retirement account, or your hospital’s medical machinery. The same technological advances that have simplified our lives have made the systems governing our lives incomprehensible, unpredictable, and overcomplicated. In Overcomplicated, complexity scientist Samuel Arbesman offers a fresh, insightful field guide to living with complex technologies that defy human comprehension. As technology grows more complex, Arbesman argues, its behavior mimics the vagaries of the natural world more than it conforms to a mathematical model. If we are to survive and thrive in this new age, we must abandon our need for governing principles and rules and accept the chaos. By embracing and observing the freak accidents and flukes that disrupt our lives, we can gain valuable clues about how our algorithms really work. What’s more, we will become better thinkers, scientists, and innovators as a result. Lucid and energizing, this book is a vital new analysis of the world heralded as "modern" for anyone who wants to live wisely.



Algorithms For Dummies

Algorithms For Dummies Author John Paul Mueller
ISBN-10 9781119330523
Release 2017-04-11
Pages 432
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Discover how algorithms shape and impact our digital world All data, big or small, starts with algorithms. Algorithms are mathematical equations that determine what we see—based on our likes, dislikes, queries, views, interests, relationships, and more—online. They are, in a sense, the electronic gatekeepers to our digital, as well as our physical, world. This book demystifies the subject of algorithms so you can understand how important they are business and scientific decision making. Algorithms for Dummies is a clear and concise primer for everyday people who are interested in algorithms and how they impact our digital lives. Based on the fact that we already live in a world where algorithms are behind most of the technology we use, this book offers eye-opening information on the pervasiveness and importance of this mathematical science—how it plays out in our everyday digestion of news and entertainment, as well as in its influence on our social interactions and consumerism. Readers even learn how to program an algorithm using Python! Become well-versed in the major areas comprising algorithms Examine the incredible history behind algorithms Get familiar with real-world applications of problem-solving procedures Experience hands-on development of an algorithm from start to finish with Python If you have a nagging curiosity about why an ad for that hammock you checked out on Amazon is appearing on your Facebook page, you'll find Algorithm for Dummies to be an enlightening introduction to this integral realm of math, science, and business.



The Algorithm Design Manual

The Algorithm Design Manual Author Steven S Skiena
ISBN-10 9781848000704
Release 2009-04-05
Pages 730
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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



Turing s Vision

Turing s Vision Author Chris Bernhardt
ISBN-10 9780262034548
Release 2016-05-13
Pages 208
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In 1936, when he was just twenty-four years old, Alan Turing wrote a remarkable paper in which he outlined the theory of computation, laying out the ideas that underlie all modern computers. This groundbreaking and powerful theory now forms the basis of computer science. In Turing's Vision, Chris Bernhardt explains the theory, Turing's most important contribution, for the general reader. Bernhardt argues that the strength of Turing's theory is its simplicity, and that, explained in a straightforward manner, it is eminently understandable by the nonspecialist. As Marvin Minsky writes, "The sheer simplicity of the theory's foundation and extraordinary short path from this foundation to its logical and surprising conclusions give the theory a mathematical beauty that alone guarantees it a permanent place in computer theory." Bernhardt begins with the foundation and systematically builds to the surprising conclusions. He also views Turing's theory in the context of mathematical history, other views of computation (including those of Alonzo Church), Turing's later work, and the birth of the modern computer. In the paper, "On Computable Numbers, with an Application to the Entscheidungsproblem," Turing thinks carefully about how humans perform computation, breaking it down into a sequence of steps, and then constructs theoretical machines capable of performing each step. Turing wanted to show that there were problems that were beyond any computer's ability to solve; in particular, he wanted to find a decision problem that he could prove was undecidable. To explain Turing's ideas, Bernhardt examines three well-known decision problems to explore the concept of undecidability; investigates theoretical computing machines, including Turing machines; explains universal machines; and proves that certain problems are undecidable, including Turing's problem concerning computable numbers.