The AI Delusion
Autor Gary Smithen Limba Engleză Hardback – 23 aug 2018
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Specificații
ISBN-13: 9780198824305
ISBN-10: 0198824300
Pagini: 256
Dimensiuni: 137 x 202 x 19 mm
Greutate: 0.43 kg
Editura: OUP OXFORD
Colecția OUP Oxford
Locul publicării:Oxford, United Kingdom
ISBN-10: 0198824300
Pagini: 256
Dimensiuni: 137 x 202 x 19 mm
Greutate: 0.43 kg
Editura: OUP OXFORD
Colecția OUP Oxford
Locul publicării:Oxford, United Kingdom
Recenzii
AI is eating the world! Or is it? Read the AI Delusion to find out. Gary Smith provides us with a rich tapestry of stories, studies, and science to elucidate this topic in a fun and accessible fashion. Learning about AI, data, and science has never been more enjoyable!
Gary Smith demolishes the hype, the exaggerations, and the unrealistic expectations that have surrounded artificial intelligence and data mining. Combining vivid narratives with insightful analysis, the book is both highly informative and enormously entertaining.
You won't need a degree in linear algebra or multivariate calculus to understand The AI Delusion — a no-nonsense look at the limitations of Big Data.
This refreshing, amusing and frank book dispels many myths about the nature of AI when compared with human intelligence, with a stimulating range of examples.
A remarkable book: deeply thoughtful but highly readable, full of practical examples to illustrate Smith's powerful computational critique of the proliferation of AI, big data, and machine learning in our daily lives. Truly essential reading.
Professor Gary Smith demonstrates why artificial intelligence doesn't live up to the hype. He uses a wide variety of real-world examples to illustrate the risks of taking humans out of the decision-making process.
Big data is increasingly being used to make big decisions, and that's a good thing, as long as we keep aware of how things can go wrong, as Gary Smith explains in this fun new book.
Data professionals and consumers can benefit from Smith's entertaining and accessible demonstration that more computing power and more data do not imply more intelligence. We need to have more confidence in our human intellect. Humans may have common sense and an appreciation of context. Computers uniformly have none.
Prof Smith delivers a strong defense of the scientific method - theory before data - and clearly demonstrates the limitations of 'AI' and 'Big Data'.
Smith's book goes a long way towards dispelling the BS about AI.
Remarkable ... This book so deserves to be widely read.
Gary Smith demolishes the hype, the exaggerations, and the unrealistic expectations that have surrounded artificial intelligence and data mining. Combining vivid narratives with insightful analysis, the book is both highly informative and enormously entertaining.
You won't need a degree in linear algebra or multivariate calculus to understand The AI Delusion — a no-nonsense look at the limitations of Big Data.
This refreshing, amusing and frank book dispels many myths about the nature of AI when compared with human intelligence, with a stimulating range of examples.
A remarkable book: deeply thoughtful but highly readable, full of practical examples to illustrate Smith's powerful computational critique of the proliferation of AI, big data, and machine learning in our daily lives. Truly essential reading.
Professor Gary Smith demonstrates why artificial intelligence doesn't live up to the hype. He uses a wide variety of real-world examples to illustrate the risks of taking humans out of the decision-making process.
Big data is increasingly being used to make big decisions, and that's a good thing, as long as we keep aware of how things can go wrong, as Gary Smith explains in this fun new book.
Data professionals and consumers can benefit from Smith's entertaining and accessible demonstration that more computing power and more data do not imply more intelligence. We need to have more confidence in our human intellect. Humans may have common sense and an appreciation of context. Computers uniformly have none.
Prof Smith delivers a strong defense of the scientific method - theory before data - and clearly demonstrates the limitations of 'AI' and 'Big Data'.
Smith's book goes a long way towards dispelling the BS about AI.
Remarkable ... This book so deserves to be widely read.
Notă biografică
Gary Smith is the Fletcher Jones Professor of Economics at Pomona College. He received his Ph.D. in Economics from Yale University and was an Assistant Professor there for seven years. He has won two teaching awards and written (or co-authored) more than eighty academic papers and twelve books including Standard Deviations: Flawed Assumptions, Tortured Data, and Other Ways to Lie With Statistics, What the Luck? The Surprising Role of Chance in Our Everyday Lives, and Money Machine: The Surprisingly Simple Power of Value Investing. His research has been featured by Bloomberg Radio Network, CNBC, The Brian Lehrer Show, Forbes, The New York Times, Wall Street Journal, Motley Fool, Newsweek, and BusinessWeek.