Wirsansky, Eyal
Hands-On Genetic Algorithms with Python - Second Edition: Apply genetic algorithms to solve real-world AI and machine learning problems
- ISBN 13:
- 9781805123798
- author:
- Wirsansky, Eyal
- format:
- Paperback
- publisher:
- Packt Publishing
- language:
- English
- Publication Year:
- 2024
- Pages:
- 418
- Dimensions:
- 23.5 x 19.1 x 2.2 centimetres (0
- Genre:
- Computers, Programming, Python,
- Condition:
- New
- Availability:
- Item usually sent within 5 working days
Description
Get hands-on experience with genetic algorithms using Python and unlock new possibilities in AI applications.
This comprehensive guide covers the principles of genetic algorithms, their application to search and optimization tasks, and how to apply them to machine learning and deep learning models. You'll learn about bio-inspired algorithms such as particle swarm optimization (PSO) and NEAT, and discover how to speed up genetic algorithms with concurrency and cloud computing.
With expert insights and practical knowledge, you'll be able to tackle real-world AI problems and explore the latest advancements in NLP and XAI. The book concludes with a project-based approach, allowing you to put your new skills into practice and stay up-to-date with the latest technologies.
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