Algorithms to Live By

Algorithms to Live By
Author: Brian Christian,Tom Griffiths
Publsiher: Macmillan
Total Pages: 368
Release: 2016-04-19
ISBN 10: 1627790365
ISBN 13: 9781627790369
Language: EN, FR, DE, ES & NL

Algorithms to Live By Book Review:

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.

Algorithms to Live By

Algorithms to Live By
Author: Brian Christian,Tom Griffiths
Publsiher: Henry Holt and Company
Total Pages: 368
Release: 2016-04-19
ISBN 10: 1627790373
ISBN 13: 9781627790376
Language: EN, FR, DE, ES & NL

Algorithms to Live By Book Review:

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,Griffiths
Publsiher: HarperCollins UK
Total Pages: 368
Release: 2016-04-19
ISBN 10: 0007547986
ISBN 13: 9780007547982
Language: EN, FR, DE, ES & NL

Algorithms to Live By The Computer Science of Human Decisions Book Review:

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,Tom Griffiths
Publsiher: Penguin
Total Pages: 304
Release: 2016-04-26
ISBN 10: 0143196472
ISBN 13: 9780143196471
Language: EN, FR, DE, ES & NL

Algorithms to Live By Book Review:

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.

The Most Human Human

The Most Human Human
Author: Brian Christian
Publsiher: Anchor
Total Pages: 303
Release: 2012
ISBN 10: 0307476707
ISBN 13: 9780307476708
Language: EN, FR, DE, ES & NL

The Most Human Human Book Review:

Explores how computers are reshaping ideas about what it means to be human profiling the annual Turing Test to assess a computer's capacity for thought while analyzing related philosophical, biological, and moral issues.

Summary of Algorithms to Live by

Summary of Algorithms to Live by
Author: Instaread
Publsiher: Unknown
Total Pages: 329
Release: 2016-10-17
ISBN 10: 9781539592204
ISBN 13: 1539592200
Language: EN, FR, DE, ES & NL

Summary of Algorithms to Live by Book Review:

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 Alignment Problem Machine Learning and Human Values

The Alignment Problem  Machine Learning and Human Values
Author: Brian Christian
Publsiher: W. W. Norton & Company
Total Pages: 496
Release: 2020-10-06
ISBN 10: 039363583X
ISBN 13: 9780393635836
Language: EN, FR, DE, ES & NL

The Alignment Problem Machine Learning and Human Values Book Review:

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.

Summary of Algorithms to Live By

Summary of Algorithms to Live By
Author: Instaread
Publsiher: Instaread
Total Pages: 43
Release: 2016-09-07
ISBN 10: 1683784790
ISBN 13: 9781683784791
Language: EN, FR, DE, ES & NL

Summary of Algorithms to Live By Book Review:

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 Master Algorithm

The Master Algorithm
Author: Pedro Domingos
Publsiher: Basic Books
Total Pages: 352
Release: 2015-09-22
ISBN 10: 0465061923
ISBN 13: 9780465061921
Language: EN, FR, DE, ES & NL

The Master Algorithm Book Review:

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.

Nine Algorithms That Changed the Future

Nine Algorithms That Changed the Future
Author: John MacCormick
Publsiher: Princeton University Press
Total Pages: 232
Release: 2020-09-15
ISBN 10: 0691209057
ISBN 13: 9780691209050
Language: EN, FR, DE, ES & NL

Nine Algorithms That Changed the Future Book Review:

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.

Algorithms Unlocked

Algorithms Unlocked
Author: Thomas H. Cormen
Publsiher: MIT Press
Total Pages: 240
Release: 2013-03-01
ISBN 10: 0262313235
ISBN 13: 9780262313230
Language: EN, FR, DE, ES & NL

Algorithms Unlocked Book Review:

For anyone who has ever wondered how computers solve problems, an engagingly written guide for nonexperts to the basics of computer algorithms. Have you ever wondered how your GPS can find the fastest way to your destination, selecting one route from seemingly countless possibilities in mere seconds? How your credit card account number is protected when you make a purchase over the Internet? The answer is algorithms. And how do these mathematical formulations translate themselves into your GPS, your laptop, or your smart phone? This book offers an engagingly written guide to the basics of computer algorithms. In Algorithms Unlocked, Thomas Cormen—coauthor of the leading college textbook on the subject—provides a general explanation, with limited mathematics, of how algorithms enable computers to solve problems. Readers will learn what computer algorithms are, how to describe them, and how to evaluate them. They will discover simple ways to search for information in a computer; methods for rearranging information in a computer into a prescribed order (“sorting”); how to solve basic problems that can be modeled in a computer with a mathematical structure called a “graph” (useful for modeling road networks, dependencies among tasks, and financial relationships); how to solve problems that ask questions about strings of characters such as DNA structures; the basic principles behind cryptography; fundamentals of data compression; and even that there are some problems that no one has figured out how to solve on a computer in a reasonable amount of time.

Bad Choices

Bad Choices
Author: Ali Almossawi
Publsiher: Penguin
Total Pages: 160
Release: 2017-04-04
ISBN 10: 0735222231
ISBN 13: 9780735222236
Language: EN, FR, DE, ES & NL

Bad Choices Book Review:

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.

Once Upon an Algorithm

Once Upon an Algorithm
Author: Martin Erwig
Publsiher: MIT Press
Total Pages: 336
Release: 2017-08-18
ISBN 10: 0262341700
ISBN 13: 9780262341707
Language: EN, FR, DE, ES & NL

Once Upon an Algorithm Book Review:

How Hansel and Gretel, Sherlock Holmes, the movie Groundhog Day, Harry Potter, and other familiar stories illustrate the concepts of computing. Picture a computer scientist, staring at a screen and clicking away frantically on a keyboard, hacking into a system, or perhaps developing an app. Now delete that picture. In Once Upon an Algorithm, Martin Erwig explains computation as something that takes place beyond electronic computers, and computer science as the study of systematic problem solving. Erwig points out that many daily activities involve problem solving. Getting up in the morning, for example: You get up, take a shower, get dressed, eat breakfast. This simple daily routine solves a recurring problem through a series of well-defined steps. In computer science, such a routine is called an algorithm. Erwig illustrates a series of concepts in computing with examples from daily life and familiar stories. Hansel and Gretel, for example, execute an algorithm to get home from the forest. The movie Groundhog Day illustrates the problem of unsolvability; Sherlock Holmes manipulates data structures when solving a crime; the magic in Harry Potter's world is understood through types and abstraction; and Indiana Jones demonstrates the complexity of searching. Along the way, Erwig also discusses representations and different ways to organize data; “intractable” problems; language, syntax, and ambiguity; control structures, loops, and the halting problem; different forms of recursion; and rules for finding errors in algorithms. This engaging book explains computation accessibly and shows its relevance to daily life. Something to think about next time we execute the algorithm of getting up in the morning.

The Bestseller Code

The Bestseller Code
Author: Jodie Archer,Matthew L. Jockers
Publsiher: St. Martin's Press
Total Pages: 320
Release: 2016-09-20
ISBN 10: 1250088283
ISBN 13: 9781250088284
Language: EN, FR, DE, ES & NL

The Bestseller Code Book Review:

"When a story captures the imagination of millions, that's magic. Can you qualify magic? Archer and Jockers just may have done so."—Sylvia Day, New York Times bestselling author Ask most people about massive success in the world of fiction, and you’ll typically hear that it’s a game of hazy crystal balls. The sales figures of E. L. James or Dan Brown seem to be freakish—random occurrences in an unknowable market. But what if there were an algorithm that could reveal a secret DNA of bestsellers, regardless of their genre? What if it knew, just from analyzing the words alone, not just why genre writers like John Grisham and Danielle Steel belong on the lists, but also that authors such as Junot Diaz, Jodi Picoult, and Donna Tartt had telltale signs of success all over their pages? Thanks to Jodie Archer and Matthew Jockers, the algorithm exists, the code has been cracked, and the results bring fresh new insights into how fiction works and why we read. The Bestseller Code offers a new theory for why Fifty Shades of Grey sold so well. It sheds light on the current craze for dark heroines. It reveals which themes tend to sell best. And all with fascinating supporting data taken from a five-year study of twenty thousand novels. Then there is the hunt for "the one"—the paradigmatic example of bestselling writing according to a computer's analysis of thousands of points of data. The result is surprising, a bit ironic, and delightfully unorthodox. This book explains groundbreaking text-mining research in accessible terms and offers a new perspective on the New York Times bestseller list. It's a big-idea book about the relationship between creativity and technology that will be provocative to anyone interested in how analytics have already transformed the worlds of finance, medicine, and sports. But at heart it is a celebration of books for readers and writers—a compelling investigation into how successful writing works, and a fresh take on our intellectual and emotional response to stories.

Fear No Evil

Fear No Evil
Author: Allison Brennan
Publsiher: Ballantine Books
Total Pages: 416
Release: 2007-03-27
ISBN 10: 0345497279
ISBN 13: 9780345497277
Language: EN, FR, DE, ES & NL

Fear No Evil Book Review:

In cyberspace, no one can hear you scream. Instead of preparing for her high school graduation, Lucy Kincaid is facing a vicious execution. Lured by an online predator, she’s destined to die horribly–live on the Internet–while hundreds of heartless viewers watch and vote on the method of her slaughter. Her family’s only hope rests with Kate Donovan, an FBI agent who took on the same sadistic killer once before . . . and lost. Blamed for another girl’s gruesome murder, Kate’s been fighting to clear her name. But she agrees to join the hunt for Lucy–and reluctantly steps back into her worst nightmare. With time running out before the bloody webcast airs, Kate teams up with forensic psychiatrist Dillon Kincaid to get inside the head of her twisted quarry, zero in on his chamber of horrors, and reach Lucy before grim history repeats itself and another innocent’s brutal death goes hideously live. Face the fear. Speak its name. See its face.

The Great Mathematical Problems

The Great Mathematical Problems
Author: Ian Stewart
Publsiher: Profile Books
Total Pages: 340
Release: 2013-03-07
ISBN 10: 1847653510
ISBN 13: 9781847653512
Language: EN, FR, DE, ES & NL

The Great Mathematical Problems Book Review:

There are some mathematical problems whose significance goes beyond the ordinary - like Fermat's Last Theorem or Goldbach's Conjecture - they are the enigmas which define mathematics. The Great Mathematical Problems explains why these problems exist, why they matter, what drives mathematicians to incredible lengths to solve them and where they stand in the context of mathematics and science as a whole. It contains solved problems - like the Poincar Conjecture, cracked by the eccentric genius Grigori Perelman, who refused academic honours and a million-dollar prize for his work, and ones which, like the Riemann Hypothesis, remain baffling after centuries. Stewart is the guide to this mysterious and exciting world, showing how modern mathematicians constantly rise to the challenges set by their predecessors, as the great mathematical problems of the past succumb to the new techniques and ideas of the present.

Hello World

Hello World
Author: Hannah Fry
Publsiher: Black Swan
Total Pages: 320
Release: 2019-03-28
ISBN 10: 9781784163068
ISBN 13: 1784163066
Language: EN, FR, DE, ES & NL

Hello World Book Review:

'One of the best books yet written on data and algorithms. . .deserves a place on the bestseller charts.' (The Times) You are accused of a crime. Who would you rather determined your fate - a human or an algorithm? An algorithm is more consistent and less prone to error of judgement. Yet a human can look you in the eye before passing sentence. Welcome to the age of the algorithm, the story of a not-too-distant future where machines rule supreme, making important decisions - in healthcare, transport, finance, security, what we watch, where we go even who we send to prison. So how much should we rely on them? What kind of future do we want? Hannah Fry takes us on a tour of the good, the bad and the downright ugly of the algorithms that surround us. In Hello World she lifts the lid on their inner workings, demonstrates their power, exposes their limitations, and examines whether they really are an improvement on the humans they are replacing. A BBC RADIO 4- BOOK OF THE WEEK SHORTLISTED FOR THE 2018 BAILLIE GIFFORD PRIZE AND 2018 ROYAL SOCIETY SCIENCE BOOK PRIZE

Probably Approximately Correct

Probably Approximately Correct
Author: Leslie Valiant
Publsiher: Basic Books
Total Pages: 208
Release: 2013-06-04
ISBN 10: 0465037909
ISBN 13: 9780465037902
Language: EN, FR, DE, ES & NL

Probably Approximately Correct Book Review:

We have effective theories for very few things. Gravity is one, electromagnetism another. But for most things—whether as mundane as finding a mate or as major as managing an economy—our theories are lousy or nonexistent. Fortunately, we don't need them, any more than a fish needs a theory of water to swim; we're able to muddle through. But how do we do it? In Probably Approximately Correct, computer scientist Leslie Valiant presents a theory of the theoryless. The key is “probably approximately correct” learning, Valiant's model of how anything can act without needing to understand what is going on. The study of probably approximately correct algorithms reveals the shared computational nature of evolution and cognition, indicates how computers might possess authentic intelligence, and shows why hacking a problem can be far more effective than developing a theory to explain it. After all, finding a mate is a lot more satisfying than finding a theory of mating. Offering an elegant, powerful model that encompasses all of life's complexity, Probably Approximately Correct will revolutionize the way we look at the universe's greatest mysteries.

Moonwalking with Einstein

Moonwalking with Einstein
Author: Joshua Foer
Publsiher: Penguin
Total Pages: 320
Release: 2011-03-03
ISBN 10: 1101475978
ISBN 13: 9781101475973
Language: EN, FR, DE, ES & NL

Moonwalking with Einstein Book Review:

The blockbuster phenomenon that charts an amazing journey of the mind while revolutionizing our concept of memory An instant bestseller that is poised to become a classic, Moonwalking with Einstein recounts Joshua Foer's yearlong quest to improve his memory under the tutelage of top "mental athletes." He draws on cutting-edge research, a surprising cultural history of remembering, and venerable tricks of the mentalist's trade to transform our understanding of human memory. From the United States Memory Championship to deep within the author's own mind, this is an electrifying work of journalism that reminds us that, in every way that matters, we are the sum of our memories.

Bandit Algorithms

Bandit Algorithms
Author: Tor Lattimore,Csaba Szepesvári
Publsiher: Cambridge University Press
Total Pages: 536
Release: 2020-07-16
ISBN 10: 1108486827
ISBN 13: 9781108486828
Language: EN, FR, DE, ES & NL

Bandit Algorithms Book Review:

A comprehensive and rigorous introduction for graduate students and researchers, with applications in sequential decision-making problems.