Program Schedule



Day/Session

Duration

Speaker

Session Focus

July 11; 01 9:00 - 10:30 AM Dr Rao Vemuri

Types of Learning; Supervised Learning an Example


July 11; 02 11:30 AM - 01:00 PM Dr Rao Vemuri

Neural Nets; Exercises and Examples

01:00 PM - 02:00 PM

Lunch

July 11; 03 02:00 PM - 04:00 PM Dr Rao Vemuri

Problem Solving with Python
Introduction to Unsupervised Learning

July 11; 04 04:30 PM - 05:00 PM Gopi Bulusu

Overview of Manifolda and Opportunities for PhDs

July 11; 05 05:30 PM - 06:00 PM Dr Rao Vemuri

Overview of Probability Concepts

July 12; 06 09:00 - 10:30 AM Dr Rao Vemuri

Log Likelihood

July 12; 07 11:00 - 01:00 PM Dr Rao Vemuri

Logistic Regression with an Example

01:00 PM - 02:00 PM

Lunch

July 12; 08 02:00 PM - 03:30 PM Dr Rao Vemuri

Linear SVM

July 12; 09 04:00 PM - 04:30 PM Group Discussion

Topics for Pursuing a PhD !

July 12; 10 04:30 PM - 6:00 PM Dr Rao Vemuri

Auto Encoders and Deep Learning


Please send participation and sponsorship inquiries to
General Chair, Gopi Kumar Bulusu - gopi@sankhya.com