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Can I read Hands-On Machine Learning for Cybersecurity : Safeguard Your System by Making Your Machines Intelligent Using the Python Ecosystem on EtoBox?
Hands-On Machine Learning for Cybersecurity : Safeguard Your System by Making Your Machines Intelligent Using the Python Ecosystem by Soma Halder, Sinan Ozdemir is a nonfiction available to read on EtoBox.
What is Hands-On Machine Learning for Cybersecurity : Safeguard Your System by Making Your Machines Intelligent Using the Python Ecosystem about?
Delve into the world of smart data security using machine learning algorithms and Python libraries Key Features Learn machine learning algorithms and cybersecurity fundamentals Automate your daily workflow by applying use cases to different aspects of security Implement smart machine learning solutions to detect various cybersecurity problems Book Description Organizations are increasingly vulnerable to many cybersecurity threats which can lead to significant financial losses, making smart data security more important than ever. In this book, you'll use different tools and techniques to solve a variety of significant problems that exist in the cybersecurity domain. The book begins by introducing you to the basics of machine learning in cybersecurity using Python and its libraries. You will then explore various machine learning domains, such as time series analysis and ensemble modeling. As you progress, you will implement various examples such as building a system to identify malicious URLs, and creating a program to detect fraudulent emails and spam. Later, you will learn how to make effective use of the k-means algorithm to develop a solution for detecting
Who reads Hands-On Machine Learning for Cybersecurity : Safeguard Your System by Making Your Machines Intelligent Using the Python Ecosystem?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Soma Halder, Sinan Ozdemir
- Publisher
- PACKT Publishing Limited
- Published
- 2018
- Language
- EN
- ISBN
- 9781788990967
- Category
- nonfiction
- Subjects
- Science, Computer Science, Stem
Other editions & translations
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