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Deep Dive into Survival Analysis

May 22, 2017


Session Time and Date

Monday, May 22nd from 3pm – 4pm CDT

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Presentation Description

Survival analysis is a branch of statistics analyzing time to an event. It has numerous applications in disciplines ranging from finance, to health care to time series modeling. This talk introduces the class of survival analysis algorithms, details a few commonly used techniques and how these can be implemented in a distributed environment. It also goes over use-cases and demos how insights can be derived from these models.


May 22, 2017
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Primary Speaker First Name
Primary Speaker Last Name
Primary Speaker Bio
Anahita Bhiwandiwalla is a Senior Software Engineer at Intel for their Analytics & Artificial Intelligence Solutions Group. She is currently working on creating analytics solutions for large-scale distributed data and solving challenges that arise as the data scales. She holds an M.S. in Computer Science from Columbia University with an emphasis on Machine Learning. Anahita’s main interests are in Machine Learning, Natural Language Processing, Speech Recognition and Data Mining. She has presented her work at various meet-ups, webinars and conferences.
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