Hands-On Genetic Algorithms with Python: Apply genetic algorithms to solve real-world AI and machine learning problems
Author:   Eyal Wirsansky
Publisher:   Packt Publishing Limited
Edition:   2nd Revised edition
ISBN:  

9781805123798


Pages:   418
Publication Date:   12 July 2024
Format:   Paperback
Availability:   In Print   Availability explained
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Hands-On Genetic Algorithms with Python: Apply genetic algorithms to solve real-world AI and machine learning problems


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Author:   Eyal Wirsansky
Publisher:   Packt Publishing Limited
Imprint:   Packt Publishing Limited
Edition:   2nd Revised edition
ISBN:  

9781805123798


ISBN 10:   1805123793
Pages:   418
Publication Date:   12 July 2024
Audience:   General/trade ,  General
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

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

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Author Information

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 networks. A notable result of this research is a novel supervised machine learning algorithm that integrates both approaches. In addition to his professional roles, Eyal serves as an adjunct professor at Jacksonville University, where he teaches a class on artificial intelligence. He also leads both the Jacksonville, Florida Java User Group and the Artificial Intelligence for Enterprise virtual user group, and authors the developer-focused artificial intelligence blog, ai4java.

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