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Hands-On Genetic Algorithms with Python: Applying genetic algorithms to solve real-world deep learning and artificial intelligence problems - Softcover
Synopsis
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
Book Description
Genetic algorithms are a family...
About the Author
Eyal Wirsansky is a senior software engineer, a technology community leader, and an artificial intelligence enthusiast and researcher. Eyal started his software engineering career as a pioneer in the field of voice over IP, and he now has over 20 years' experience of creating a variety of high-performing enterprise solutions. While in graduate school, he focused his research on genetic algorithms and neural networks. One outcome of...
"About this title" may belong to another edition of this title.
- PublisherPackt Publishing
- Publication date2020
- ISBN 10 1838557741
- ISBN 13 9781838557744
- BindingPaperback
- LanguageEnglish
- Number of pages346
- Rating
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