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List of topics for machine learning and statistics
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data-analyst-handbook.md

Data Analyst Handbook

Real Analysis

  • Sets
  • Continuity
  • Calculus
  • Measure Theory
  • Kernels

Linear Algebra

  • Types of Matrices
    • Symmetric
    • etc
  • Decompositions
    • SVD
    • Eigendecomposition
  • Matrix Calculus

Optimization

  • Gradient Descent
  • Newton-Raphson Method
  • Coordinate Descent
  • Conditions? Stephen Boyd

Probability Theory & Statistics

  • Measure theoretic probability
  • Random Variables
  • Expectation & Variance (identities)
  • Limiting Distributions
  • Law of Large Numbers
  • Central Limit Theorem
  • Sufficient Statistics
  • Ancilliary Statistics

Statistical Learning

  • Generalized Linear Models
  • Decision Trees
    • XGBoost
  • Bagging & Boosting
  • Clustering
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