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Data Science for Cybersecurity: Defending with Machine Learning
Paperback
Publisher: Independently Published
Published: Jun 9 2025
Pages: 334
Weight: 0.99
Height: 0.70 Width: 6.00 Depth: 9.00
Language: English
Drawing on real-world examples, case studies, and hands-on approaches, this book balances theoretical foundations with practical implementation. Whether you are a seasoned practitioner or new to the field, our aim is to equip you with the knowledge and tools to leverage data-driven strategies for securing digital assets.
We stand at a pivotal moment where the fusion of data science and cybersecurity is not just an opportunity but a necessity. This book is our contribution to that mission, offering a roadmap for defending with intelligence, precision, and innovation.
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