Genetic Algorithms and Machine Learning for Programmers: Create AI Models and Evolve Solutions (Pragmatic Programmers)
3 Angebote vergleichen
Bester Preis: € 30,06 (vom 26.12.2019)1
Genetic Algorithms and Machine Learning for Programmers: Create AI Models and Evolve Solutions
EN PB NW FEISBN: 9781680506204 bzw. 168050620X, in Englisch, 250 Seiten, Pragmatic Bookshelf, Taschenbuch, neu, Erstausgabe.
Lieferung aus: Vereinigte Staaten von Amerika, Not yet published, free shipping for AmazonPrime only. Regular USD 4.98.
Von Händler/Antiquariat, Amazon.com.
Self-driving cars, natural language recognition, and online recommendation engines are all possible thanks to Machine Learning. Now you can create your own genetic algorithms, nature-inspired swarms, Monte Carlo simulations, cellular automata, and clusters. Learn how to test your ML code and dive into even more advanced topics. If you are a beginner-to-intermediate programmer keen to understand machine learning, this book is for you. 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. What You Need: Code in C++ (>= C++11), Python (2.x or 3.x) and JavaScript (using the HTML5 canvas). Also uses matplotlib and some open source libraries, including SFML, Catch and Cosmic-Ray. These plotting and testing libraries are not required but their use will give you a fuller experience. Armed with just a text editor and compiler/interpreter for your language of choice you can still code along from the general algorithm descriptions., Paperback, Edition: 1, Label: Pragmatic Bookshelf, Pragmatic Bookshelf, Product group: Book, Published: 2019-03-07, Release date: 2019-03-07, Studio: Pragmatic Bookshelf, Sales rank: 1475409.
Von Händler/Antiquariat, Amazon.com.
Self-driving cars, natural language recognition, and online recommendation engines are all possible thanks to Machine Learning. Now you can create your own genetic algorithms, nature-inspired swarms, Monte Carlo simulations, cellular automata, and clusters. Learn how to test your ML code and dive into even more advanced topics. If you are a beginner-to-intermediate programmer keen to understand machine learning, this book is for you. 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. What You Need: Code in C++ (>= C++11), Python (2.x or 3.x) and JavaScript (using the HTML5 canvas). Also uses matplotlib and some open source libraries, including SFML, Catch and Cosmic-Ray. These plotting and testing libraries are not required but their use will give you a fuller experience. Armed with just a text editor and compiler/interpreter for your language of choice you can still code along from the general algorithm descriptions., Paperback, Edition: 1, Label: Pragmatic Bookshelf, Pragmatic Bookshelf, Product group: Book, Published: 2019-03-07, Release date: 2019-03-07, Studio: Pragmatic Bookshelf, Sales rank: 1475409.
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Genetic Algorithms and Machine Learning for Programmers: Create AI Models and Evolve Solutions (Pragmatic Programmers) (2019)
EN PB USISBN: 9781680506204 bzw. 168050620X, in Englisch, 218 Seiten, O'Reilly UK Ltd. Taschenbuch, gebraucht.
Neu ab: 30,06 € (33 Angebote)
Gebraucht ab: 44,26 € (2 Angebote)
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3
Genetic Algorithms and Machine Learning for Programmers: Create AI Models and Evolve Solutions
EN PB NWISBN: 9781680506204 bzw. 168050620X, in Englisch, Pragmatic Bookshelf, Taschenbuch, neu.
Lieferung aus: Vereinigte Staaten von Amerika, In Stock.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
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