Skiena Steven S Skiena - Böcker

"My absolute favorite for this kind of interview preparation is Steven Skiena's The Algorithm Design Manual. More than any other book it helped me understand just how astonishingly commonplace ? graph problems are -- they should be part of every w...

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"My absolute favorite for this kind of interview preparation is Steven Skiena's The Algorithm Design Manual. More than any other book it helped me understand just how astonishingly commonplace ? graph problems are -- they should be part of every w...

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There are many distinct pleasures associated with computer programming. Craftsmanship has its quiet rewards, the satisfaction that comes from building a useful object and making it work. Excitement arrives with the flash of insight that cracks a p...

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This is a book about a gambling system that works. It tells the story of how the author used computer simulations and mathematical modeling techniques to predict the outcome of jai-alai matches and bet on them successfully - increasing his initial...

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This is a book about a gambling system that works. The author tells the story of how he used computer simulations and mathematical modeling techniques to predict the outcome of jai-alai matches and bet on them successfully - increasing his initial...

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In this fascinating book, Skiena and Ward bring quantitative analysis to bear on ranking and comparing historical reputations, aggregating the traces of millions of opinions, as Google ranks webpages. They present rankings of thousands of history'...

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This newly expanded and updated second edition of the best-selling classic continues to take the "e;mystery"e; out of designing algorithms, and analyzing their efficacy and efficiency. Expanding on the first edition, the book now serves as...

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This engaging and clearly written textbook/reference provides a must-have introduction to the rapidly emerging interdisciplinary field of data science. It focuses on the principles fundamental to becoming a good data scientist and the key skills n...

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This engaging and clearly written textbook/reference provides a must-have introduction to the rapidly emerging interdisciplinary field of data science. It focuses on the principles fundamental to becoming a good data scientist and the key skills n...

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