Introduction to Machine Learning

Introduction to Machine Learning

  1. Introduction to Machine Learning
  2. Fundamentals of Statistical Methods
    a. Probability Theory, Bayesian Statistics, Decision Theory
  3. Supervised Learning
    a. Linear Regression, Gaussian Discriminant Analysis, Logistic Regression, Support Vector Machines, Neural Networks
  4. Unsupervised Learning
    a. Dimensionality Reduction, Clustering