Ajay Thampi

Ajay Thampi has a strong background in machine learning. His PhD focused on signal processing and machine learning. He has published papers at leading conferences and journals on the topics of reinforcement learning, convex optimization, and classical machine learning techniques applied to 5G cellular networks. Ajay is currently a machine learning engineer at a large tech company, primarily focused on responsible AI and fairness. In the past, Ajay was a lead data scientist at Microsoft, where he was responsible for deploying complex AI solutions for customers across multiple industries such as manufacturing, retail, and finance.

videos by Ajay Thampi

Interpretable AI or How I Learned to Stop Worrying and Trust AI

  • Course duration: 32m

An overview of a few state-of-the-art interpretability techniques and how you can implement them in Python to interpret complex machine-learning models.