Eyal Wirsansky, "Hands-On Genetic Algorithms with Python: Applying genetic algorithms to solve real-world deep learning and artificial intelligence problems"
English | ISBN: 1838557741 | 2020 | 346 pages | MOBI | 17 MB
Explore the ever-growing world of genetic algorithms to solve search, optimization, and AI-related tasks, and improve machine learning models using Python libraries such as DEAP, scikit-learn, and NumPy
Key Features
Explore the ins and outs of genetic algorithms with this fast-paced guide
Implement tasks such as feature selection, search optimization, and cluster analysis using Python
Solve combinatorial problems, optimize functions, and enhance the performance of artificial intelligence applications
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