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  • An Introduction to Modern Statistical Learning
  • Preface
  • 1 Introduction
  • I Representation and Inference
  • II Learning
  • III Appendices
    1. A The Calculus of Variations and Its Applications
    2. B Mathematical Appendix
      1. B.1 Matrix Calculus
      2. B.2 Probability and Statistics
      3. B.3 Matrix Identities
    3. C Bonus Material
    4. D A Review of Probabilistic Graphical Models
    5. Bibliography

Appendix B Mathematical Appendix

  1. B.1 Matrix Calculus
  1. B.2 Probability and Statistics
  1. B.3 Matrix Identities