Clinton Sheppard
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.
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 projects 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.
Categories: Computers\\Programming: Programming Languages
Year: 2016
Language: english
Pages: 433
File: PDF, 9.34 MB
ID: SC - 1354
SC - 1354 | Genetic Algorithms with Python
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