Genetic Algorithms with Python
Год издания: 2016
Автор: Clinton Sheppard
Жанр или тематика: python
Издательство: Самиздат
Язык: Английский
Формат: PDF
Качество: Издательский макет или текст (eBook)
Интерактивное оглавление: Да
Описание: Get a hands-on introduction to machine learning with genetic algorithms using Python. Step-by-step tutorials build your skills from Hello World! to optimizing one genetic algorithm with another, and finally genetic programming;thus preparing you to apply genetic algorithms to problems in your own field of expertise.
Доп. информация: Genetic algorithms are one of the tools you can use to apply machine learning to finding good, sometimes even optimal, solutions to problems that have billions of potential solutions. This book gives you experience making genetic algorithms work for you, using easy-to-follow example problems that you can fall back upon when learning to use other machine learning tools and techniques. Each chapter is a step-by-step tutorial that helps to build your skills at using genetic algorithms to solve problems using Python.
Python is a high-level, low ceremony and powerful language whose code can be easily understood even by entry-level programmers. If you have experience with another programming language then you should have no difficulty learning Python by induction.
The code in this book is open source, licensed under the Apache License, Version 2.0. The final code from each chapter is available for download using a link at the end of the chapter. (googledrive)
