Cybersecurity Data Science Super Bundle
Everything you need to be a practitioner of Cybersecurity Data Science and more!
Description
The Cybersecurity Data Science Super Bundle™ has everything you need to be a practitioner of Cybersecurity Data Science… and more!
Included are our best-selling courses Cybersecurity Data Science (to learn the fundamentals), Machine Learning for Red Team Hackers (to reach advanced level) and Machine Learning for Cybersecurity Cookbook (a life-saving desk reference for the practitioner)… and our EXCLUSIVE Cybersecurity Data Science Newsletter Archive and Subscription which you can’t find anywhere else (to keep you always up-to-date on the latest and great in Cybersecurity Data Science)!
Cybersecurity Data Science
Tools of the Future. Now.
✔ Use machine learning to classify malware.
✔ Malware analysis 101.
✔ Set up a cybersecurity lab environment.
✔ Learn how to tackle data class imbalance.
✔ Unsupervised anomaly detection.
✔ End-to-end deep neural networks for malware classification.
✔ Create a machine learning Intrusion Detection System (IDS).
✔ Employ machine learning for offensive security.
✔ Learn how to address False Positive constraints.
✔ Break a CAPTCHA system using machine learning.
Click here for more info.
Machine Learning for Red Team Hackers
Learn the Most Modern and Most Powerful Tools in Pentesting
✔ Learn how to make your fuzzing intelligent using AI
✔ Learn how to evade machine learning malware classifiers
✔ Learn how to perform adversarial attacks on machine learning
✔ Learn how to break CAPTCHAs using machine learning
✔ Learn how to create Deepfakes
✔ Learn how to backdoor, poison and steal ML models
Click here for more info.
Machine Learning for Cybersecurity Cookbook
Over 80 Recipes for Implementing Machine Learning Algorithms for Building Security Systems!
✔ Smart malware detection and evasion techniques using ML, deep learning for catching zero-day threats, overcoming obfuscation/packing, automating malware analysis…
✔ Social engineering using ML including voice impersonation, Deepfake and fake review generation and *phishing on steroids* via ML…
✔ Next-gen pentesting including NN-based fuzzing, metasploit made DANGEROUS with an RL agent, software vulnerability detection with AI and Tor deanonymizing!
✔ Upgraded intrusion detection with AI including Insider Threat detection, network anomaly detection, catching DDoS and financial fraud.
✔ Securing and attacking data with ML including Deep Learning for password cracking (#scary), steganalysis via AI, ML attacks on hardware, and encryption with NNs.
✔ Secure and Private AI to preserve customer privacy and confidentiality, including federated learning, differential privacy, and even adversarial robustness.
Click here for more info.
Cybersecurity Data Science Newsletter Archive
Find Out The Hottest and Latest Developments in Machine Learning and Cybersecurity.
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…
These issues are not available anywhere else.
Click here for more info.
All of this at a MASSIVE discount.
See for yourself:
Cybersecurity Data Science = $35.00
Machine Learning for Red Team Hackers = $39.00
Machine Learning for Cybersecurity Cookbook = $30.39
Cybersecurity Data Science Archive = $35.00
for a total of $35+$35+$30.39+$35=$139.39.
But since you are bundling we are giving you all of this at a 50% discount!!!
See What Students Have To Say
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.