Cybersecurity Data Science Newsletter

Find Out the Hottest Developments in Machine Learning and Cybersecurity

For The Busy Cyber-Professional… The Cybersecurity Data Science Newsletter, where we cover the latest and hottest developments in Machine Learning + Cybersecurity so you don’t have to spend time scouring the news. Or worse yet – finding out about the coolest new developments in AI and Cybersecurity last!

Issues cover:
⦁ Hilarious Data Science Jokes…
⦁ Tracking users through the Bitcoin network using Machine Learning…
⦁ Monotonic Machine Learning Malware Detectors for adversarial robustness…
⦁ Deepfakes and What’s New in Social Engineering…
⦁ How the Police is Utilizing Machine Learning…
⦁ The Future of Media in the Post-Truth Era…
⦁ How The CoronaVirus Affects Us In The Cybersecurity Profession…
⦁ Malware Detection in Self-Driving Vehicles Using Machine Learning…
⦁ What’s new in Pen Testing…
⦁ Selected Job Opportunities…

The Cybersecurity Data Science Newsletter Archive is exclusive to the Cybersecurity Data Science Superbundle.

See What Students Have To Say

"A very crisp course and to the point! Course has covered almost everything which is required to novice data scientist. Well Curated course and expecting upgradation with explanation about cyber security world and the area where data scientist can play important role."

Rashmi Pandey

Senior Software Engineer (AI & computer vision)

 5/5

"The lectures are presented in an interesting and very clear manner. Warmly recommended."

Simon Keidar

Advocate

 5/5

"I recently took Cybersecurity Data Science by Emmanuel Tsukerman. This was the first course I have ever seen to combine 2 of my passions (cyber security and data science). I really enjoyed the content, it was enough to give you a good overview of the topics he covers."

Leon Rosenstein

Cybersecurity Data Scientist

 5/5

"This course provides an excellent overview of the intersection between ML and security. Should you want to dive into the models a bit deeper than in the videos, your python skills need to be above the recommended level, in my opinion. This course provides an excellent overview of what is possible and what areas to further study, but as stated, is just an introduction and overview."

Marnus van Staden

Operational Manager

 5/5

"Probably my favourite course i've taken on this platform. (And i've taken shiploads). Combining cyber security and data analysis is crucial but no one seems to be talking about it. Except the author. You have a fan for life brother. I've ordered your cookbook in pdf and hard copy so I can write out as many as I can. Studying this course I've realised my python is not as strong as I thought it was so I have jumped on sharpening that up so I can fully utilise your hard work before me. But knowing what I can do with the python library using these methods has me more excited than ever to have to learn it as seeing the benefits are the greatest motivators. If you are ever in Australia I would love to buy you a coffee/beer/ dinner to pick your brain. I have only just come across you but I already see you as a mentor. Also, can I pay to get on your newsletter? I've pretty much already brought everything else, so it would be a shame to have to buy the whole bundle to get access. PS. I dig your editing, I love banging out an instrumental when i'm getting stuck into some work haha."

Matty Bell

Principal Software Development Engineer

 5/5

"A practical course with straigthforward explanations that dive deep into the practical skills. I recommend having previous basic knowledge of machine learning and python for the course to be fluent and an open door to exploring new and deeper concepts. The instructor is clear in his explanations."

Darwin Patricio Cordova

Senior Android developer

 4.5/5

"I have an extensive data sciences background but am new to the cybersecurity environment and had previously taken a "red attack" intro course. This is helping me understand better how to analyze the results of malware data sets."

Mike Ensby

Data Scientist

 4.5/5

About Me

Dr. Emmanuel Tsukerman, Founder of ML4CS

Dr. Tsukerman graduated from Stanford University and UC Berkeley. His achievements include designing a machine-learning-based anti-ransomware product that won Top 10 Ransomware Products by PC Magazine as well as implementing a machine-learning-based malware detection system for Palo Alto Network’s WildFire service serving over 30,000 enterprise customers. Dr. Tsukerman is the author of the Machine Learning for Cybersecurity Cookbook, Cybersecurity Data Science and Machine Learning for Red Team Hackers Courses.