Hands-On Genetic Algorithms with Python: Applying genetic algorithms to solve real-world deep learning and artificial intelligence problems
Author:   Eyal Wirsansky
Publisher:   Packt Publishing Limited
ISBN:  

9781838557744


Pages:   346
Publication Date:   31 January 2020
Format:   Paperback
Availability:   Available To Order   Availability explained
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Hands-On Genetic Algorithms with Python: Applying genetic algorithms to solve real-world deep learning and artificial intelligence problems


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Author:   Eyal Wirsansky
Publisher:   Packt Publishing Limited
Imprint:   Packt Publishing Limited
ISBN:  

9781838557744


ISBN 10:   1838557741
Pages:   346
Publication Date:   31 January 2020
Audience:   College/higher education ,  Tertiary & Higher Education
Format:   Paperback
Publisher's Status:   Active
Availability:   Available To Order   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

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 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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