Sign Up

Sign Up to our social questions and Answers Engine to ask questions, answer people’s questions, and connect with other people.

Sign In

Login to our social questions & Answers Engine to ask questions answer people’s questions & connect with other people.

Forgot Password

Lost your password? Please enter your email address. You will receive a link and will create a new password via email.

You must login to ask question.

Please briefly explain why you feel this answer should be reported.

Using Topological Data Analysis on your BigData

Using Topological Data Analysis on your BigData

Using Topological Data Analysis on your BigData

Using Topological Data Analysis on your BigData


Topological Data Analysis (TDA) is a framework for data analysis and machine learning and represents a breakthrough in how to effectively use geometric and topological information to solve ‘Big Data’ problems. TDA provides meaningful summaries (in a technical sense to be described) and insights into complex data problems. In this talk, Anthony will begin with an overview of TDA and describe the core algorithm that is utilized. This talk will include both the theory and real world problems that have been solved using TDA. After this talk, attendees will understand how the underlying TDA algorithm works and how it improves on existing “classical” data analysis techniques as well as how it provides a framework for many machine learning algorithms and tasks.



Anthony Bak, Senior Data Scientist, Ayasdi
Prior to coming to Ayasdi, Anthony was at Stanford University where he did a postdoc with Ayasdi co-founder Gunnar Carlsson, working on new methods and applications of Topological Data Analysis. He completed his Ph.D. work in algebraic geometry with applications to string theory at the University of Pennsylvania and ,along the way, he worked at the Max Planck Institute in Germany, Mount Holyoke College in Germany, and the American Institute of Mathematics in California.

Here’s the video:

Here’s the slideshare:

Thanks to our Sponsors
Microsoft [ ] for providing awesome venue for the event.

Ayasdi [ ] for co-sponsoring the food/drinks.

cognizeus [ ] for hosting and co-sponsoring the food/drinks.

Related Posts