Computer Science Mojo

Some Machine Learning Basics

Algorithms

• Supervised Learning (for predictions)
  • Classification
    • Kernel Methods and SVM
    • Nearest Neighbor classification
    • multi-class classification
    • neural networks: DNN, CNN, RNN, and LSTM
    • Decision Trees
      • Random Forests
      • Boosting
  • Regression
    • Linear Regression
    • Perceptron
    • Logistic regression
• Unsupervised learning (for discovering patterns)
  • Clustering
    • K means
    • GMM mixture models
    • EM
  • Generative models
    • Naive Bayes
    • Density Estimation
    • Hidden Markov models
• Reinforcement Learning
  • recommender systems