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probability and statistics

Statistical learning theory

ERM, VC dimension, bias–variance, generalization bounds, PAC learning.

5 lessons Follow in order
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  1. Lesson 1 of 5

    Empirical risk minimization

    Enroll to open · 7 min read

  2. Lesson 2 of 5

    VC dimension (intuition)

    Enroll to open · 7 min read

  3. Lesson 3 of 5

    Bias–variance decomposition

    Enroll to open · 7 min read

  4. Lesson 4 of 5

    Generalization bounds

    Enroll to open · 7 min read

  5. Lesson 5 of 5

    PAC learning overview

    Enroll to open · 7 min read

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