Algorithms To Live By

Algorithms To Live By by Brian Christian

Algorithms To Live By PDF
✏Book Title : Algorithms to Live By
✏Author :
✏Publisher : Penguin
✏Release Date : 2016-04-26
✏Pages : 304 pages
✏ISBN : 9780143196471
Rating: 4/5 from 14 users

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✏Algorithms to Live By Book Summary : 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.

📒Algorithms To Live By ✍ Brian Christian

Algorithms To Live By PDF
✏Book Title : Algorithms to Live By
✏Author : Brian Christian
✏Publisher : Penguin
✏Release Date : 2016-04-26
✏Pages : 304
✏ISBN : 9780143196471
✏Available Language : English, Spanish, And French

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✏Algorithms to Live By Book Summary : 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.

📒Algorithms To Live By ✍ Brian Christian

Algorithms To Live By PDF
✏Book Title : Algorithms to Live By
✏Author : Brian Christian
✏Publisher : Macmillan
✏Release Date : 2016-04-19
✏Pages : 368
✏ISBN : 9781627790369
✏Available Language : English, Spanish, And French

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✏Algorithms to Live By Book Summary : 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 ✍ Brian Christian

Algorithms To Live By PDF
✏Book Title : Algorithms to Live By
✏Author : Brian Christian
✏Publisher : Henry Holt and Company
✏Release Date : 2016-04-19
✏Pages : 368
✏ISBN : 9781627790376
✏Available Language : English, Spanish, And French

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✏Algorithms to Live By Book Summary : 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.

Summary Of Algorithms To Live By PDF
✏Book Title : Summary of Algorithms to Live by
✏Author : Instaread
✏Publisher :
✏Release Date : 2016-10-17
✏Pages :
✏ISBN : 1539592200
✏Available Language : English, Spanish, And French

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✏Summary of Algorithms to Live by Book Summary : 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.

Summary Of Algorithms To Live By PDF
✏Book Title : Summary of Algorithms to Live By
✏Author : Instaread
✏Publisher : Instaread
✏Release Date : 2016-09-07
✏Pages : 43
✏ISBN : 9781683784791
✏Available Language : English, Spanish, And French

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✏Summary of Algorithms to Live By Book Summary : 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 Most Human Human ✍ Brian Christian

The Most Human Human PDF
✏Book Title : The Most Human Human
✏Author : Brian Christian
✏Publisher : Anchor
✏Release Date : 2012
✏Pages : 303
✏ISBN : 9780307476708
✏Available Language : English, Spanish, And French

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✏The Most Human Human Book Summary : 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.

The Alignment Problem Machine Learning And Human Values PDF
✏Book Title : The Alignment Problem Machine Learning and Human Values
✏Author : Brian Christian
✏Publisher : W. W. Norton & Company
✏Release Date : 2020-10-06
✏Pages : 496
✏ISBN : 9780393635836
✏Available Language : English, Spanish, And French

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✏The Alignment Problem Machine Learning and Human Values Book Summary : 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.

Nine Algorithms That Changed The Future PDF
✏Book Title : Nine Algorithms That Changed the Future
✏Author : John MacCormick
✏Publisher : Princeton University Press
✏Release Date : 2020-09-15
✏Pages : 232
✏ISBN : 9780691209050
✏Available Language : English, Spanish, And French

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✏Nine Algorithms That Changed the Future Book Summary : 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.

📒The Master Algorithm ✍ Pedro Domingos

The Master Algorithm PDF
✏Book Title : The Master Algorithm
✏Author : Pedro Domingos
✏Publisher : Basic Books
✏Release Date : 2015-09-22
✏Pages : 352
✏ISBN : 9780465061921
✏Available Language : English, Spanish, And French

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✏The Master Algorithm Book Summary : 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.

📒Once Upon An Algorithm ✍ Martin Erwig

Once Upon An Algorithm PDF
✏Book Title : Once Upon an Algorithm
✏Author : Martin Erwig
✏Publisher : MIT Press
✏Release Date : 2017-08-18
✏Pages : 336
✏ISBN : 9780262341707
✏Available Language : English, Spanish, And French

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✏Once Upon an Algorithm Book Summary : 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.