Data Workshop: Applied Supervised Machine Learning for Cyber Security

Details

We are starting off the New Year with a special workshop on how machine learning can be used for cybersecurity.

Agenda
-------------------------------------------------
6:30 PM -- Networking & Food

7:00 PM -- Greetings

7:05 PM -- Applied Supervised Machine Learning for Cyber Security - Charles Givre CISSP

8:45 PM -- Closings

Location
-------------------------------------------------
Loyola University
8890 McGaw Road
Columbia, MD 21045

Directions
-------------------------------------------------
Please proceed to the second floor upon entering.

Parking
-------------------------------------------------
There is ample free parking surrounding the building.

Food and Drinks
-------------------------------------------------
Complimentary food, such as pizza and chips, and non-alcoholic beverages will be provided.

Talks
-------------------------------------------------
Applied Supervised Machine Learning for Cyber Security
Machine learning is a broad topic and in this short workshop, Mr. Charles Givre will walk you through the Supervised Learning process, with a particular focus on automating model tuning and feature engineering. By the end of this workshop, you will be able to create a simple model from a security-related data set, and optimize its performance.

Speakers
-------------------------------------------------
Charles Givre CISSP
Mr. Charles Givre works as a manager at JP Morgan Chase. Prior to joining Deutsche Bank, Mr. Givre worked as a Senior Lead Data Scientist for Booz Allen Hamilton for the last seven years where he works in the intersection of cybersecurity and data science. Mr. Givre taught data science classes at BlackHat, the O'Reilly Security Conference, the Center for Research in Applied Cryptography and Cyber Security at Bar Ilan University. One of Mr. Givre's research interests is increasing the productivity of data science and analytic teams, and towards that end, he has been working extensively to promote the use of Apache Drill in security applications and is a committer and PMC Chair for the Drill project. Mr. Givre teaches online classes for O'Reilly about Drill and Security Data Science and is a coauthor for the O'Reilly book Learning Apache Drill. Mr. Givre holds a Masters Degree in Middle Eastern Studies from Brandeis University, as well as a Bachelors of Science in Computer Science and a Bachelor's of Music both from the University of Arizona. He blogs at thedataist.com and tweets @cgivre.