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Chapter 6: Two-Class Classification

Logistic regression, decision boundaries, and probabilistic classification.

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Sigmoid Geometry figure from Machine Learning RefinedSigmoid GeometryThe sigmoid transform as shape and decision mechanism.

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  • Sigmoid Geometry
  • Distance to Boundary

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  • Logistic Regression

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Sigmoid Geometry figure from Machine Learning Refined

Ch. 6 / Classification

Sigmoid Geometry

The sigmoid transform as shape and decision mechanism.

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Ch. 2

Zero-Order Optimization Techniques

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Ch. 3

First-Order Optimization Techniques

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Ch. 4

Second-Order Optimization Techniques

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Ch. 5

Linear Regression

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Ch. 6

Two-Class Classification

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Ch. 7

Linear Multi-Class Classification

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Ch. 8

Linear Unsupervised Learning

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Ch. 9

Feature Engineering and Selection

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Ch. 10

Principles of Nonlinear Feature Engineering

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Ch. 11

Principles of Feature Learning

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Ch. 13

Fully Connected Neural Networks

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Appendix C

Linear Algebra

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