This course is all about preparing you for fluent and safe handling of malware and employment of Machine Learning to analyze it. You will set up a lab environment for handling and analyzing malware and acquire a basic toolkit of Machine Learning techniques to enable you to tackle the vast majority of Cybersecurity Data Science problems.
Setting Up a Virtual LabDuration: 8:11
Working with Virtual Python EnvironmentsDuration: 3:55
Basic Model AssessmentDuration: 5:35
Structured Learning with XGBoostDuration: 2:35
Natural Language ProcessingDuration: 4:11
Anomaly Detection with Isolation ForestDuration: 5:31
Hyperparameter TuningDuration: 6:30
Generating Text Using Machine LearningDuration: 4:03
Meet the author
Dr. Tsukerman graduated from Stanford University and UC Berkeley. In 2017, his machine-learning-based anti-ransomware product won Top 10 Ransomware Products by PC Magazine. In 2018, he designed a machine-learning-based malware detection system for Palo Alto Network's WildFire service (over 30,000 customers). In 2019, Dr. Tsukerman authored the Machine Learning for Cybersecurity Cookbook and launched Infosec Skills Cybersecurity Data Science learning path.
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