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Machine Learning for Cybersecurity Cookbook
book

Machine Learning for Cybersecurity Cookbook

by Emmanuel Tsukerman
November 2019
Intermediate to advanced content levelIntermediate to advanced
346 pages
9h 36m
English
Packt Publishing
Content preview from Machine Learning for Cybersecurity Cookbook

Preface

Cyber threats today are one of the key problems every organization faces. This book uses various Python libraries, such as TensorFlow, Keras, scikit-learn, and others, to uncover common and not-so-common challenges faced by cybersecurity researchers.

The book will help readers to implement intelligent solutions to existing cybersecurity challenges and build cutting edge implementations that cater to increasingly complex organizational needs. By the end of this book, you will be able to build and use machine learning (ML) algorithms to curb cybersecurity threats using a recipe-based approach.

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Publisher Resources

ISBN: 9781789614671Supplemental Content