Lecture 3
April 9, 2019
Overview
Overview
- Discussion on readings
- Introduction to ML
- Types, common problems
- Process of building ML pipeline
- Gathering data
- Extracting features
- Developing model
- Training and optimization
- Evaluation
Lecture Video
Lecture Video