E-Book, Englisch, 418 Seiten
Wirsansky Hands-On Genetic Algorithms with Python
2. Auflage 2024
ISBN: 978-1-80512-157-2
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection
Apply genetic algorithms to solve real-world AI and machine learning problems
E-Book, Englisch, 418 Seiten
ISBN: 978-1-80512-157-2
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection
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Table of Contents - An Introduction to Genetic Algorithms
- Understanding the Key Components of Genetic Algorithms
- Using the DEAP Framework
- Combinatorial Optimization
- Constraint Satisfaction
- Optimizing Continuous Functions
- Enhancing Machine Learning Models Using Feature Selection
- Hyperparameter Tuning Machine Learning Models
- Architecture Optimization of Deep Learning Networks
- Reinforcement Learning with Genetic Algorithms
- Natural Language Processing
- Explainable AI and Counterfactuals
- Speeding Up Genetic Algorithms with Concurrency
- Harnessing the Cloud
- Genetic Image Reconstruction
- Other Evolutionary and Bio-Inspired Computation Techniques




