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Probably Approximately Correct: Nature's Algorithms for Learning and Prospering in a Complex World

Leslie Valiant




[PDF.cb42] Probably Approximately Correct: Nature's Algorithms for Learning and Prospering in a Complex World

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 | #750657 in Books |  Basic Books AZ |  2014-11-14 |  2014-11-14 | Original language:English | PDF # 1 |  8.13 x.63 x5.45l,.87 | File type: PDF | 208 pages

 | Basic Books AZ

||7 of 7 people found the following review helpful.| Evolution is not a form of learning: learning is a product of evolution|By Tim Tyler|This book is by a machine learning expert. He in interested in models of learning and particularly their assessment in terms of computational complexity theory. It considers seriously the role of evolution itself in the context of knowledge acquisition processes. The book argues that evolution| |“Computer scientist Leslie Valiant celebrates Alan Turing as the progenitor of a third scientific revolution, potentially as profound as Newton's and Einstein's in transforming our understanding of the world. Why not a ‘fourth revolution'—why omit Darwin? B

From a leading computer scientist, a unifying theory that will revolutionize our understanding of how life evolves and learns.

How does life prosper in a complex and erratic world? While we know that nature follows patterns—such as the law of gravity—our everyday lives are beyond what known science can predict. We nevertheless muddle through even in the absence of theories of how to act. But how do we do it?

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