跳到主要内容

Summarize

Summarize:

Supervised Learning:

  • Linear Regression
  • Logistic Regression
  • Neural Networks
  • SVMs

Unsupervised Learning

  • K-means
  • PCA
  • Anomaly Detection

Special application/Special topics

  • Recommender Systens
  • Large Scale Machine Learning

Advice on building a machine learning system

  • Bias/Variance
  • Regularization
  • Deciding what to work on next
  • Evaluation of learning algorithms
  • Learning Curves
  • Error Analysis
  • Ceiling Analysis