Machine Learning Algorithms

Algorithm Foundations

  • Lesson 1: How To Talk About Data in Machine Learning
  • Lesson 2: Principle That Underpins All Algorithms
  • Lesson 3: Parametric and Nonparametric Algorithms
  • Lesson 4: Bias, Variance and the Trade-off

Linear Algorithms

  • Lesson 5: Linear Regression
    Lesson 6: Logistic Regression
    Lesson 7: Linear Discriminant Analysis

Nonlinear Algorithms

  • Lesson 8: Classification and Regression Trees
  • Lesson 9: Naive Bayes
  • Lesson 10: k-Nearest Neighbors
  • Lesson 11: Learning Vector Quantization
  • Lesson 12: Support Vector Machines

Ensemble Algorithms

  • Lesson 13: Bagging and Random Forest
  • Lesson 14: Boosting and AdaBoost
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