ML 7.2Lesson outlineLesson 2 of 8 in Module 7
Logistic Regression
Separate two classes with a plane, turn the signed distance into a probability, and fit it by minimising log loss.
Video in production.
Lesson outline: Logistic Regression
In this lesson12 parts
- 01A probability from a line
- 02The training tumors
- 03Two models to beat
- 04A score, then a probability
- 05Thirty weights and an intercept
- 06Which objective
- 07The gradient, and descent
- 08The penalty, and C
- 09Probability, ranking, decision
- 10Where it misleads
- 11Code
- 12Recap, your challenge, and what comes next
Builds on
This lesson stands on its own. These go deeper into what it uses.
- Maths 1.1: Functions and Their Graphs
- 1.2
- 2.4
- 4.7
- ML 3.2: Gradient Descent
- 4.2
- 4.4–4.5
- 4.8
- 5.1–5.4
- Stats 5.2: Maximum Likelihood Estimation
- 7.2