Virtual Event
Black Hat Europe 2020
Applied Data Science and Machine Learning for Cybersecurity
This interactive course will teach security professionals how to use data science techniques to quickly manipulate and analyze network and security data and ultimately uncover valuable insights from this data. The course will cover the entire data science process from data preparation, feature engineering and selection, exploratory data analysis, data visualization, machine learning, model evaluation and optimization and finally, implementing at scale—all with a focus on security-related problems.
Virtual Event
Date and Time
December 7 - 8, 2020 9:00 AM - 5:00 PM
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This interactive course will teach security professionals how to use data science techniques to quickly manipulate and analyze network and security data and ultimately uncover valuable insights from this data. The course will cover the entire data science process from data preparation, feature engineering and selection, exploratory data analysis, data visualization, machine learning, model evaluation and optimization and finally, implementing at scale—all with a focus on security-related problems.

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GTK Cyber events bring together thought leadership in data science and machine learning from across the globe. Join us for these dynamic and informative happenings.

This interactive course will teach security professionals how to use data science techniques to quickly manipulate and analyze network and security data and ultimately uncover valuable insights from this data. The course will cover the entire data science process from data preparation, feature engineering and...
Dec. 7, 2020
9:00 AM - 5:00 PM
Virtual Event
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SEE WHAT PEOPLE ARE SAYINGEvent TESTIMONIALS

“The first iteration of the course packed all relevant concepts and exercises in a fast-paced manner. That was personally valuable as a refresher due to my academic background with some touchpoints on machine learning.“

— Former Black Hat Student

“Good introduction into the topic of machine learning, plenty of hands-on experience with jupyter/python/pandas/etc. This fit exactly with what we are doing in our daily work so was directly applicable. Now I just need to find time to read the book suggestions.“

— Former Black Hat Student

“[The GTK Cyber course] was well organized and flowed nicely, all of the topics were relevant“

— Former Black Hat Student

“I found it informative and interesting.“

— Former Black Hat Student

“The Jupyter notebooks and answers were a big help.“

— Former Black Hat Student

“I enjoyed the class and learned quite a bit. I appreciated most the discussion on obtaining data and feature engineering. I also learned the most from parameter tuning. I felt the course was a great pace for me.“

— Former Black Hat Student

“[The course] was awesome!“

— Former Black Hat Student

“The content and focus on data science applications for security problems [was extremely helpful].“

— Former Black Hat Student

“We need more courses like these in cybersecurity!“

— Former Black Hat Student