You're reading from Hands-On Genetic Algorithms with Python

Product typeBook

Published inJan 2020

Reading LevelIntermediate

PublisherPackt

ISBN-139781838557744

Edition1st Edition

Languages

Python

Tools

Keras TensorFlow

Concepts

Artificial Intelligence

Author (1)

Eyal Wirsansky

Introduction to hyperparameter tuning, from the book Mastering Predictive Analytics with scikit-learn and TensorFlow, Alan Fontaine, September 2018: https://subscription.packtpub.com/book/big_data_and_business_intelligence/9781789617740/2/ch02lvl1sec16/introduction-to-hyperparameter-tuning
sklearn-deap at GitHub: https://github.com/rsteca/sklearn-deap
Comparing EvolutionaryAlgorithmSearchCV against GridSearchCV and RandomizedSearchCV: https://github.com/rsteca/sklearn-deap/blob/master/test.ipynb
sklearn ADABoost Classifier: https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.AdaBoostClassifier.html
UCI Machine Learning Repository: ht tps://archive.ics.uci.edu/ml/index.php

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Hands-On Genetic Algorithms with Python

Published in: Jan 2020Publisher: PacktISBN-13: 9781838557744

Author (1)

Eyal Wirsansky

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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