Presented By O’Reilly and Cloudera
Make Data Work
March 5–6, 2018: Training
March 6–8, 2018: Tutorials & Conference
San Jose, CA
Pramit Choudhary

Pramit Choudhary
Lead Data Scientist , h2o.ai

Website | @MaverickPramit

Pramit Choudhary is a Lead data scientist/ML scientist at h2o.ai, where he focuses on optimizing and applying classical machine learning and Bayesian design strategy to solve large scale real-world problems.
Currently, he is leading initiatives on figuring out better ways to generate a predictive model’s learned decision policies as meaningful insights(Supervised/Unsupervised problems)

Sessions

5:10pm–5:50pm Wednesday, March 7, 2018
Meet the Expert with Pramit Choudhary (DataScience.com)
Meet the Experts
 Location: Table A (Expo Hall)
Pramit Choudhary (h2o.ai)
Pramit will talk in detail about enabling explainable AI, including: the need for better model interpretation, how to build interpretable machine learning system using the open source framework "Skater", and Bayesian Rule Lists, and other algorithms for assisting human decision. Read more.
2:40pm–3:20pm Thursday, March 8, 2018
Human in the loop: Bayesian rules enabling explainable AI
Data science and machine learning, Law, ethics, and governance
 Location: LL20 C
Pramit Choudhary (h2o.ai)
Average rating: *****
(5.00, 3 ratings)
Pramit Choudhary explores the usefulness of a generative approach that applies Bayesian inference to generate human-interpretable decision sets in the form of "if. . .and else" statements. These human interpretable decision lists with high posterior probabilities might be the right way to balance between model interpretability, performance, and computation. Read more.