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Hands-On Genetic Algorithms with Python: Apply genetic algorithms to solve real-world AI and machine learning problems - Softcover
Synopsis
Explore the ever-growing world of genetic algorithms to build and enhance AI applications involving search, optimization, machine learning, deep learning, NLP, and XAI using Python libraries
Key Features
- Learn how to implement genetic algorithms using Python libraries DEAP, scikit-learn, and NumPy
- Take advantage of cloud computing technology to increase the performance of your solutions
- Discover bio-inspired algorithms such as particle swarm optimization (PSO) and NEAT
- Purchase of the print or Kindle book includes a...
About the Author
Eyal Wirsansky is a senior data scientist, an experienced software engineer, a technology community leader, and an artificial intelligence researcher. Eyal began his software engineering career over twenty-five years ago as a pioneer in the field of Voice over IP. He currently works as a member of the data platform team at Gradle, Inc. During his graduate studies, he focused his research on genetic algorithms and neural...
"About this title" may belong to another edition of this title.
- PublisherPackt Publishing
- Publication date2024
- ISBN 10 1805123793
- ISBN 13 9781805123798
- BindingPaperback
- LanguageEnglish
- Edition number2
- Number of pages418
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