Machine Learning
Logistic regression and classification
Sigmoid, log-likelihood, softmax, decision boundaries, calibration.
5 lessons
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Work through these in order—each lesson builds on the previous one.
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Lesson 1 of 5
Sigmoid and logits
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Lesson 2 of 5
Cross-entropy and log-likelihood
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Lesson 3 of 5
Softmax for multiclass classification
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Lesson 4 of 5
Decision boundaries
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Lesson 5 of 5
Calibration