Presented By O’Reilly and Intel AI
Put AI to Work
April 29-30, 2018: Training
April 30-May 2, 2018: Tutorials & Conference
New York, NY
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

4:00pm–4:40pm Wednesday, May 2, 2018
Model evaluation in the land of deep learning
Implementing AI, Interacting with AI
 Location: Nassau East/West
Pramit Choudhary (h2o.ai)
Average rating: ****.
(4.67, 3 ratings)
Predicting the target label for computer vision machine learning problems is not enough. You must also understand the why, what, and how of the categorization process. Pramit Choudhary offers an overview of ways to faithfully interpret and evaluate deep neural network models, including CNN image models to understand the impact of salient features in driving categorization. Read more.