Genetic algorithms and machine learning for programmers : create AI models and evolve solutions

Discover machine learning algorithms using a handful of self-contained recipes. Build a repertoire of algorithms, discovering terms and approaches that apply generally. Bake intelligence into your algorithms, guiding them to discover good solutions to problems. In this book, you will: * Use heuristi...

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Hlavní autor: Buontempo, Frances
Médium: E-kniha Kniha
Jazyk:angličtina
Vydáno: Raleigh, North Carolina The Pragmatic Bookshelf 2019
Pragmatic Programmers, LLC
Pragmatic Programmers, LLC, The
Vydání:1
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ISBN:9781680506204, 168050620X, 9781680506587, 1680506587
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Shrnutí:Discover machine learning algorithms using a handful of self-contained recipes. Build a repertoire of algorithms, discovering terms and approaches that apply generally. Bake intelligence into your algorithms, guiding them to discover good solutions to problems. In this book, you will: * Use heuristics and design fitness functions. * Build genetic algorithms. * Make nature-inspired swarms with ants, bees and particles. * Create Monte Carlo simulations. * Investigate cellular automata. * Find minima and maxima, using hill climbing and simulated annealing. * Try selection methods, including tournament and roulette wheels. * Learn about heuristics, fitness functions, metrics, and clusters. Test your code and get inspired to try new problems. Work through scenarios to code your way out of a paper bag; an important skill for any competent programmer. See how the algorithms explore and learn by creating visualizations of each problem. Get inspired to design your own machine learning projects and become familiar with the jargon.
Bibliografie:Includes bibliographical and references and index
ISBN:9781680506204
168050620X
9781680506587
1680506587