Anjali Datta
Anjali is a postdoc at Stanford Medicine working on MRI processing to identify neurosurgical targets. She also has a PhD in Electrical Engineering from Stanford, during which she developed MRI acquisition and reconstruction methods. Medical imaging is of course a field where ML is taking over, and Anjali is now interested in the applications of deep learning to MRI and other signal processing.
Sessions
Libraries like Ibis have been gaining traction recently, by unifying the way we work with data across multiple data platforms—from dataframe APIs to databases, from dev to prod. What if we could extend the abstraction to machine learning workflows (broadly, sequences of steps that implement fit and transform methods)? In this tutorial, we will develop an end-to-end machine learning project to predict the live win probability at any given move during a chess game.