Learn From Garry Kasparov S Greatest Games New
Download Learn From Garry Kasparov S Greatest Games New PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Learn From Garry Kasparov S Greatest Games New book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Garry Kasparov's Greatest Chess Games
Garry Kasparov has dominated the chess world for more than twenty years. His dynamism and preparation have set an example that is followed by most ambitious players. Igor Stohl has selected the best and most instructive games from Kasparov's later years, and annotated them in great detail. The emphasis is on explaining the thoughts behind Kasparov's decisions, and the principles and concepts embodied by his moves. Stohl provides a wealth of fresh insights into these landmark games, together with many new analytical points. This makes the book outstanding study material for all chess enthusiasts. Garry Kasparov was born in 1963, and burst onto the scene in the late 1970s with a series of astonishing results in Soviet and international events. In 1985 he became the youngest world champion in history by defeating Anatoly Karpov in an epic struggle. When he announced his retirement from professional chess twenty years later, he was still world number 1. Kasparov is an internationally renowned figure, famous even among the non-chess-playing public.
Learn from Garry Kasparov's Greatest Games
Garry Kasparov has held the number one position in chess for almost twenty years. He is considered the greatest player of all time. Now, beginning and intermediate players - 90% of the chess playing audience - can benefit from his wisdom. Packed with diagrams and easy-to-understand pointers showing what Kasparov was thinking and how players can apply these concepts and strategies to their own games, this great learning tool borrows from the grace and power of Kasparov's greatest games.
Deep Thinking
In May 1997, the world watched as Garry Kasparov, the greatest chess player in the world, was defeated for the first time by the IBM supercomputer Deep Blue. It was a watershed moment in the history of technology: machine intelligence had arrived at the point where it could best human intellect. It wasn't a coincidence that Kasparov became the symbol of man's fight against the machines. Chess has long been the fulcrum in development of machine intelligence; the hoax automaton 'The Turk' in the 18th century and Alan Turing's first chess program in 1952 were two early examples of the quest for machines to think like humans -- a talent we measured by their ability to beat their creators at chess. As the pre-eminent chessmaster of the 80s and 90s, it was Kasparov's blessing and his curse to play against each generation's strongest computer champions, contributing to their development and advancing the field. Like all passionate competitors, Kasparov has taken his defeat and learned from it. He has devoted much energy to devising ways in which humans can partner with machines in order to produce results better than either can achieve alone. During the twenty years since playing Deep Blue, he's played both with and against machines, learning a great deal about our vital relationship with our most remarkable creations. Ultimately, he's become convinced that by embracing the competition between human and machine intelligence, we can spend less time worrying about being replaced and more thinking of new challenges to conquer. In this breakthrough book, Kasparov tells his side of the story of Deep Blue for the first time -- what it was like to strategize against an implacable, untiring opponent -- the mistakes he made and the reasons the odds were against him. But more than that, he tells his story of AI more generally, and how he's evolved to embrace it, taking part in an urgent debate with philosophers worried about human values, programmers creating self-learning neural networks, and engineers of cutting edge robotics.