Introduction to Machine Learning
  • Machine Learning Overview
ML - Supervised Learning
  • Naive Bayes Classifiers
  • K-Nearest Neighbors
  • Linear Regression
  • Assess Your Understanding of Supervised Learning
ML - Unsupervised Learning
  • K-Means Clustering
  • Singular Value Decomposition
  • Singular Value Decomposition - Example
  • Test Your Knowledge in Unsupervised Learning
ML - Recommender Systems
  • Collaborative filtering
  • Content-based filtering
  • Test Your Knowledge in Recommender Systems
ML - Ranking Algorithms
  • Learning to Rank
  • Test Your Understanding of Ranking Algorithms
For the Future
  • Future Goals and actions