By the end, you will be able to - 

1. Diagnose errors in a machine learning system

2. Prioritize strategies for reducing errors; understand complex ML settings, such as mismatched training/test sets, and comparing to and/or surpassing human-level performance

3. Apply end-to-end learning, transfer learning, and multi-task learning