machine-learning
Binary logistic regression
taught
Predicting a class probability via the sigmoid function, fit by maximum likelihood rather than least squares.
Taught in
-
Binary logistic regression
Modern Machine Learning
Requires
- simple-linear-regression required
- probability-vocabulary-for-ml required
Required by
- From logistic regression to a neural network required
- Generative classifiers: LDA and QDA required
- Multiclass logistic regression required
- Probability calibration required
Local knowledge map
Local knowledge map
Click to expand
Solid arrows are required prerequisites; dashed are recommended or helpful. Lower rows are more foundational. Click any box to jump to that concept.