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Anotace knihy

Discover how to apply contemporary data science and machine learning to cybersecurity In Applied Data Science for Cybersecurity, experienced data science and cybersecurity professional Charles Givre delivers an incisive and technically sound exploration of how to use the latest advances in data science, machine learning, and artificial intelligence to improve your firm's cybersecurity. The author explains what data science and machine learning are before moving on to how to get and prepare data for visualization and processing, how to build and tune machine learning models, and, finally, how to apply all this knowledge to the world of cybersecurity. In the book, you'll discover: How to prepare cybersecurity data for machine learningHow to build machine learning models for cybersecurity applicationsHow to understand deep learning and its application to cybersecurityHow to use the latest artificial intelligence for cybersecurity applicationsHow to attack AI and machine learning models. A must-read for cybersecurity professionals who aim to improve their understanding of machine learning and data science, Applied Data Science for Cybersecurity is also a valuable addition to the library of any information security practitioner with an interest in modern data science and its applications to cybersecurity.

Parametry knihy

Zařazení knihy Knihy v němčině Naturwissenschaften, Medizin, Informatik, Technik Informatik, EDV Informatik

• Plný název: Applied Data Science for Cybersecurity
• Autor: Charles (Brandeis University; University of Arizona) Givre
• Jazyk: Angličtina
• Vazba: Brožovaná
• Počet stran: 352
• EAN: 9781394244188
• ISBN: 1394244185
• ID: 44381915
• Nakladatelství: John Wiley & Sons Inc
• Hmotnost: 666 g
• Datum vydání: 05. June 2024

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