A Mathematician’s View of Machine Learning (and Why It Matters) | Tamara Kolda | MathSci.ai

Tammy Kolda, Mathematical Consultant at MathSci.ai, presents a Technical Vision Talk at the WiDS Worldwide conference.

A (trained) machine learning model, such as a deep neural network, operates loosely as follows: it takes features as an input and produces a classification as an output. Watch Tammy argue that more data and bigger models are not a panacea, and instead develop mathematical methodology for understanding how to move beyond the current limits of machine learning.