Genetic Algorithms and Machine Learning for Programmers
Book • 2019
Genetic Algorithms and Machine Learning for Programmers by Frances Buontempo provides a programmer-centric introduction to evolutionary algorithms and core machine learning concepts.
The book emphasizes hands-on implementation, showing how to build and adapt genetic algorithms and simple learning systems in code.
It balances theory with practical examples, enabling readers to experiment and understand algorithm behaviour through small projects.
Buontempo's approach focuses on making concepts accessible to developers who prefer learning by doing rather than heavy mathematical exposition.
The book serves as a bridge for programmers wanting to apply heuristic search and basic ML techniques in their own codebases.
The book emphasizes hands-on implementation, showing how to build and adapt genetic algorithms and simple learning systems in code.
It balances theory with practical examples, enabling readers to experiment and understand algorithm behaviour through small projects.
Buontempo's approach focuses on making concepts accessible to developers who prefer learning by doing rather than heavy mathematical exposition.
The book serves as a bridge for programmers wanting to apply heuristic search and basic ML techniques in their own codebases.
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Frances Buontempo
Learn C++ by Example • Frances Buontempo & Matt Godbolt
