Interpretable Machine Learning

Date:

The description of the talk is as follows:

  1. Introduction
  2. Machine Learning
  3. Example: Predicting Profits of Food Trucks
  4. A Machine Learning Component: Data
  5. A Machine Learning Component: Model/Hypothesis
  6. A Machine Learning Component: Cost/Lost Function
  7. A Machine Learning Component: Optimization Algorithm
  8. Demo Time
  9. Interpretability
  10. Interpretable Models & An Example