Isbn: 9780465060726 - probably approximately correct: nature's algorithms for learning and prospering in a complex world (32 risultati)

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Paperback. Condizione: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority.

Paperback. Condizione: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

Paperback. Condizione: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

Paperback. Condizione: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

Paperback. Condizione: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority.

Condizione: good. All pages and cover are intact. Dust jacket included if applicable, though it may be missing on hardcover editions. Spine and cover may show minor signs of wear including scuff marks, curls or bends to corners as well as cosmetic blemishes including stickers. Pages may contain limited notes or highlighting. "From the library of" labels may be present. Shrink wrap, dust covers, or boxed set packaging may be missing. Bundled media e.g., CDs, DVDs, access codes may not be included.…

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Paperback or Softback. Condizione: New. Probably Approximately Correct: Nature's Algorithms for Learning and Prospering in a Complex World. Book.

Paperback. Condizione: New. 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?In Probably Approximately Correct , computer scientist Leslie Valiant presents a masterful synthesis of learning and evolution to show how both individually and collectively we not only survive, but prosper in a world as complex as our own. The key is probably approximately correct" algorithms, a concept Valiant developed to explain how effective behaviour can be learned. The model shows that pragmatically coping with a problem can provide a satisfactory solution in the absence of any theory of the problem. After all, finding a mate does not require a theory of mating. Valiant's theory reveals the shared computational nature of evolution and learning, and sheds light on perennial questions such as nature versus nurture and the limits of artificial intelligence.Offering a powerful and elegant model that encompasses life's complexity, Probably Approximately Correct has profound implications for how we think about behaviour, cognition, biological evolution, and the possibilities and limits of human and machine intelligence.…

Paperback. Condizione: New. 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?In Probably Approximately Correct , computer scientist Leslie Valiant presents a masterful synthesis of learning and evolution to show how both individually and collectively we not only survive, but prosper in a world as complex as our own. The key is probably approximately correct" algorithms, a concept Valiant developed to explain how effective behaviour can be learned. The model shows that pragmatically coping with a problem can provide a satisfactory solution in the absence of any theory of the problem. After all, finding a mate does not require a theory of mating. Valiant's theory reveals the shared computational nature of evolution and learning, and sheds light on perennial questions such as nature versus nurture and the limits of artificial intelligence.Offering a powerful and elegant model that encompasses life's complexity, Probably Approximately Correct has profound implications for how we think about behaviour, cognition, biological evolution, and the possibilities and limits of human and machine intelligence.…

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Paperback. Condizione: new. Paperback. 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?In Probably Approximately Correct , computer scientist Leslie Valiant presents a masterful synthesis of learning and evolution to show how both individually and collectively we not only survive, but prosper in a world as complex as our own. The key is probably approximately correct" algorithms, a concept Valiant developed to explain how effective behaviour can be learned. The model shows that pragmatically coping with a problem can provide a satisfactory solution in the absence of any theory of the problem. After all, finding a mate does not require a theory of mating. Valiant's theory reveals the shared computational nature of evolution and learning, and sheds light on perennial questions such as nature versus nurture and the limits of artificial intelligence.Offering a powerful and elegant model that encompasses life's complexity, Probably Approximately Correct has profound implications for how we think about behaviour, cognition, biological evolution, and the possibilities and limits of human and machine intelligence. A leading computer scientist shows why understanding computation is the key to understanding life Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

paperback. Condizione: Acceptable. Water damage to book. Please see the condition note after this for details, if this is missing please consider Acceptable to mean poor quality that could include major staining, water damage, writing, missing dustjacket, etc etc. Our books are dispatched from a Yorkshire former cotton mill. We list via barcode/ISBN so please note that the images are stock images and may not be the exact copy you receive, furthermore the details about edition and year might not be accurate as many publishers reuse the same ISBN for multiple editions and as we simply scan a barcode or enter an ISBN we do not check the validity of the edition data when listing. If you're looking for an exact edition please don't order (at least not without checking with us first, although we don't always have time to check). We aim to dispatch prompty, the service used will depend on order value and book size. We can ship to most countries, see our shipping policies. Payment is via Abe only.…

Condizione: New. pp. 208.

Condizione: New. In English.

Condizione: New. Num Pages: 208 pages. BIC Classification: PSAJ; UYQ. Category: (G) General (US: Trade). Dimension: 143 x 208 x 14. Weight in Grams: 212. . 2014. Reprint. Paperback. . . . .

paperback. Condizione: New.

Condizione: New.

Trade Paperback. Condizione: Brand New. reprint edition. 195 pages. 8.25x5.75x0.50 inches. In Stock.

Condizione: New. Num Pages: 208 pages. BIC Classification: PSAJ; UYQ. Category: (G) General (US: Trade). Dimension: 143 x 208 x 14. Weight in Grams: 212. . 2014. Reprint. Paperback. . . . . Books ship from the US and Ireland.

Condizione: As New. Unread book in perfect condition.

Condizione: New. pp. 208.

Paperback. Condizione: New. 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?In Probably Approximately Correct , computer scientist Leslie Valiant presents a masterful synthesis of learning and evolution to show how both individually and collectively we not only survive, but prosper in a world as complex as our own. The key is probably approximately correct" algorithms, a concept Valiant developed to explain how effective behaviour can be learned. The model shows that pragmatically coping with a problem can provide a satisfactory solution in the absence of any theory of the problem. After all, finding a mate does not require a theory of mating. Valiant's theory reveals the shared computational nature of evolution and learning, and sheds light on perennial questions such as nature versus nurture and the limits of artificial intelligence.Offering a powerful and elegant model that encompasses life's complexity, Probably Approximately Correct has profound implications for how we think about behaviour, cognition, biological evolution, and the possibilities and limits of human and machine intelligence.…

Condizione: New. A leading computer scientist shows why understanding computation is the key to understanding life&Uumlber den AutorLeslie Valiant is the T. Jefferson Coolidge Professor of Computer Science and Applied Mathematics at Harvard U.

Paperback. Condizione: new. Paperback. 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?In Probably Approximately Correct , computer scientist Leslie Valiant presents a masterful synthesis of learning and evolution to show how both individually and collectively we not only survive, but prosper in a world as complex as our own. The key is probably approximately correct" algorithms, a concept Valiant developed to explain how effective behaviour can be learned. The model shows that pragmatically coping with a problem can provide a satisfactory solution in the absence of any theory of the problem. After all, finding a mate does not require a theory of mating. Valiant's theory reveals the shared computational nature of evolution and learning, and sheds light on perennial questions such as nature versus nurture and the limits of artificial intelligence.Offering a powerful and elegant model that encompasses life's complexity, Probably Approximately Correct has profound implications for how we think about behaviour, cognition, biological evolution, and the possibilities and limits of human and machine intelligence. A leading computer scientist shows why understanding computation is the key to understanding life Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

Paperback. Condizione: New. 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?In Probably Approximately Correct , computer scientist Leslie Valiant presents a masterful synthesis of learning and evolution to show how both individually and collectively we not only survive, but prosper in a world as complex as our own. The key is probably approximately correct" algorithms, a concept Valiant developed to explain how effective behaviour can be learned. The model shows that pragmatically coping with a problem can provide a satisfactory solution in the absence of any theory of the problem. After all, finding a mate does not require a theory of mating. Valiant's theory reveals the shared computational nature of evolution and learning, and sheds light on perennial questions such as nature versus nurture and the limits of artificial intelligence.Offering a powerful and elegant model that encompasses life's complexity, Probably Approximately Correct has profound implications for how we think about behaviour, cognition, biological evolution, and the possibilities and limits of human and machine intelligence.…

Taschenbuch. Condizione: Neu. Probably Approximately Correct | Nature's Algorithms for Learning and Prospering in a Complex World | Leslie Valiant | Taschenbuch | Kartoniert / Broschiert | Englisch | 2014 | Basic Books | EAN 9780465060726 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.…

Trade Paperback. Condizione: Brand New. reprint edition. 195 pages. 8.25x5.75x0.50 inches. In Stock. This item is printed on demand.