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Rakesh M.Verma,David J.Marchette

Cybersecurity Analytics

Cybersecurity Analytics

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  • More about Cybersecurity Analytics


Cybersecurity Analytics is a book that teaches data science techniques to address cybersecurity challenges and includes examples and datasets for the reader to learn by doing. It covers unsupervised learning, semi-supervised learning, supervised learning, text mining, natural language processing, and more, and has a website with resources for serious practitioners.

Format: Paperback / softback
Length: 340 pages
Publication date: 29 August 2022
Publisher: Taylor & Francis Ltd


Cybersecurity Analytics is a comprehensive guide designed for both cybersecurity students and professionals seeking to enhance their understanding of data science techniques and their applications in addressing cybersecurity challenges. Whether you aspire to build malware detectors, phishing email detectors, or explore patterns in your datasets, this book empowers you to achieve your goals independently.

Packed with numerous examples and comprehensive datasets links, the book encourages hands-on learning through practical exercises. With a basic college-level calculus course and a foundational understanding of probability, readers can easily grasp the majority of the material covered.

The book is organized into chapters covering various data science techniques, including unsupervised learning, semi-supervised learning, supervised learning, text mining, natural language processing, and more. It also provides a background in security, statistics, and linear algebra, providing a solid foundation for those interested in diving deeper into the field.

In addition to the theoretical content, the book's website offers a wealth of resources for serious practitioners, including a listing of datasets, updates, and additional materials to support your learning journey. Whether you are a cybersecurity student, professional, or simply passionate about data science and cybersecurity, this book is an invaluable resource that will help you develop the skills and knowledge needed to excel in this rapidly evolving field.

Weight: 670g
Dimension: 177 x 253 x 24 (mm)
ISBN-13: 9781032401003

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