Overview
- Administrative stuff
- Supervised learning setup:
- Feature vectors, Labels
- 0/1 loss, squared loss, absolute loss
- Train / Test split
- Administrative stuff
- Supervised learning setup:
- Feature vectors, Labels
- 0/1 loss, squared loss, absolute loss
- Train / Test split
Reading:
- Lectures Notes
- MLaPP: sec. 1.1, 1.2, 1.4.2, 1.4.3, 1.4.9
Lectures:
#1: CS4780 Lecture #1: Introduction!
#2: CS4780 Lecture 2: History of ML, Intro about Supervised Learning
#3: CS4780 Lecture 3: Algorithms on our dataset, Loss functions
- Lectures Notes
- MLaPP: sec. 1.1, 1.2, 1.4.2, 1.4.3, 1.4.9
Lectures:
#1: CS4780 Lecture #1: Introduction!
#2: CS4780 Lecture 2: History of ML, Intro about Supervised Learning
#3: CS4780 Lecture 3: Algorithms on our dataset, Loss functions