Information security has been collecting data for years and is just now starting to benefit from it. Join the author of “Data-Driven Security” as he walks through real world use cases that will take the attendee from the theory to the reality of learning from data. He will lay out the steps and frame the problem in each use case and then discuss the techniques and products (many open source) that can be used to tackle each use case. The attendee will walk away with a better appreciation of what data science is and the types of problems it can and can’t solve.
** Can’t make it to this session? Jay is presenting it for the first time on Tuesday @ 3:00pm
- Data Science is_all_about_the_people, with support from technology.
- Visualizing_data can be quick_and_easy and provide a lot of insight.
- Statistics can help avoid many common mistakes and missteps.
- Machine learning is going to open up a lot of possibilities (this talk will cover some of the basic concepts and terms).
About Jay Jacobs
Jay Jacobs is a co-founder and chief data scientist at Cyentia Institute, a research firm dedicated to advancing the state of information security knowledge and practice through data-driven research. Jacobs also hosts the Cyentia Podcast and is the co-author of Data-Driven Security, a book covering data analysis and visualizations for information security.
