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.

books by Ajay Thampi

Interpretable AI
  • May 2022
  • ISBN 9781617297649
  • 328 pages
Included with a Manning Online subscription
  • printed in black & white
  • Available translations: Japanese, Korean, Simplified Chinese
catalog / Data Science / Machine Learning / Interpretable Machine Learning

Interpretable AI teaches you to identify the patterns your model has learned and why it produces its results. As you read, you’ll pick up algorithm-specific approaches, like interpreting regression and generalized additive models, along with tips to improve performance during training. You’ll also explore methods for interpreting complex deep learning models where some processes are not easily observable. AI transparency is a fast-moving field, and this book simplifies cutting-edge research into practical methods you can implement with Python.