Genetic Algorithms and Machine Learning for Programmers, 9781680506204
Paperback

Genetic Algorithms and Machine Learning for Programmers

create ai models and evolve solutions

$95.84

  • Paperback

    236 pages

  • Release Date

    8 February 2019

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Summary

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 hand…

Book Details

ISBN-13:9781680506204
ISBN-10:168050620X
Author:Frances Buontempo
Publisher:The Pragmatic Programmers
Imprint:The Pragmatic Programmers
Format:Paperback
Number of Pages:236
Release Date:8 February 2019
Weight:450g
Dimensions:192mm x 235mm x 14mm
Series:Pragmatic Programmers
About The Author

Frances Buontempo

Frances Buontempo is the editor of ACCU’s Overload magazine php/journal/overload_by_cover). She has published articles and given talks centered on technology and machine learning. With a PhD in data mining, she has been programming professionally since the 1990s. During her career as a programmer, she has championed unit testing, mentored newer developers, deleted quite a bit of code and fixed a variety of bugs.

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