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Chapter 6: Two-Class Classification
Logistic regression, decision boundaries, and probabilistic classification.
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Sigmoid GeometryThe sigmoid transform as shape and decision mechanism.Book figures
- Sigmoid Geometry
- Distance to Boundary
Notebooks
- Logistic Regression
Roadmaps
- Essentials
- Full treatment
- Optimization focus
- Deep learning intro
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Ch. 6 / Classification
Sigmoid Geometry
The sigmoid transform as shape and decision mechanism.
Ch. 2
Zero-Order Optimization Techniques
Ch. 3
First-Order Optimization Techniques
Ch. 4
Second-Order Optimization Techniques
Ch. 5
Linear Regression
Ch. 6
Two-Class Classification
Ch. 7
Linear Multi-Class Classification
Ch. 8
Linear Unsupervised Learning
Ch. 9
Feature Engineering and Selection
Ch. 10
Principles of Nonlinear Feature Engineering
Ch. 11
Principles of Feature Learning
Ch. 13
Fully Connected Neural Networks
Appendix C