
Genetic Algorithms and Machine Learning for Programmers
Create AI Models and Evolve Solutions
Frances Buontempo(Author)
The Pragmatic Programmers (Publisher)
Published on 11. April 2019
Book
Paperback/Softback
236 pages
978-1-68050-620-4 (ISBN)
Description
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.
More details
Series
Language
English
Place of publication
Raleigh
United States
Target group
Professional and scholarly
Product notice
Paperback (trade)
Unsewn / adhesive bound
Dimensions
Height: 233 mm
Width: 192 mm
Thickness: 18 mm
Weight
454 gr
ISBN-13
978-1-68050-620-4 (9781680506204)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Frances Buontempo
Genetic Algorithms and Machine Learning for Programmers
Create AI Models and Evolve Solutions
E-Book
01/2019
Pragmatic Bookshelf
€39.49
Available for download

Frances Buontempo
Genetic Algorithms and Machine Learning for Programmers
E-Book
01/2019
Pragmatic Bookshelf
€39.49
Available for download
Person
Frances Buontempo is the editor of ACCU's Overload magazine (https://accu.org/index.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.