By request from students, I have compiled a little list of the books that are currently out teaching ML+CS, as well as a minimal summary of each. They’re not ranked in any order. Check them out and feel free to comment below.
Malware Data Science: Attack Detection and Attribution
Book by Hillary Sanders and Joshua Saxe
Personal one-sentence summary: teaches both basic and advanced tools for malware detection.
—
Book by Chiheb Chebbi
Personal one-sentence summary: a good introduction to core data science concepts.
—
Machine Learning and Security: Protecting Systems with Data and Algorithms
Book by Clarence Chio and David Freeman
Personal one-sentence summary: good academic guide that helps a practitioner be aware of possible pitfalls in the field.
—
Hands-On Machine Learning for Cybersecurity: Safeguard your system by making your machines intelligent using the Python ecosystem
Book by Soma Halder and Sinan Ozdemir
Personal one-sentence summary: great theoretical overview as well as a selection of nice case studies.
—
Machine Learning for Cybersecurity Cookbook
Book by Emmanuel Tsukerman
Personal one-sentence summary: 80+ solutions to common cybersecurity data science problems.
Expected to come out in July. Subscribe to my newsletter to be the first to know about it!
*As an Amazon Associate I earn from qualifying purchases.
In part I of this blog post series, I told you how you can set…
In a previous blog post, I told you how you can set yourself apart from…
A lot of students ask me what to do to become a Cybersecurity Data Scientist…
If you've been paying any attention at all to what's going on, you must have…
If you've been paying any attention at all to what's going on, you must have…
In this post, I’m going to cover how AI can comb through video and audio…