algorithms to live by the computer science of human decisions

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Algorithms To Live By

Author : Brian Christian
ISBN : 9781627790376
Genre : Science
File Size : 79. 24 MB
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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 The Computer Science Of Human Decisions

Author : Brian Christian
ISBN : 9780007547982
Genre : Computers
File Size : 23. 66 MB
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A fascinating exploration of how computer algorithms can be applied to our everyday lives.

Algorithms To Live By

Author : Brian Christian
ISBN : 0007547994
Genre :
File Size : 21. 55 MB
Format : PDF, Docs
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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

Author : Brian Christian
ISBN : 9780141971551
Genre : Science
File Size : 32. 97 MB
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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

Author : Ali Almossawi
ISBN : 9780735222236
Genre : Science
File Size : 68. 85 MB
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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

Author : Cathy O'Neil
ISBN : 9780141985428
Genre : Technology & Engineering
File Size : 36. 38 MB
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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 Master Algorithm

Author : Pedro Domingos
ISBN : 9780241004555
Genre : Science
File Size : 56. 80 MB
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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.

The Seven Pillars Of Statistical Wisdom

Author : Stephen M. Stigler
ISBN : 9780674970212
Genre : Social Science
File Size : 37. 80 MB
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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.

Summary Of Algorithms To Live By

Author : Instaread
ISBN : 9781683784791
Genre : Study Aids
File Size : 46. 48 MB
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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 Mathematical Corporation

Author : Josh Sullivan
ISBN : 9781610397896
Genre : Business & Economics
File Size : 64. 55 MB
Format : PDF, Kindle
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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.

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