Machine Learning Fundamentals

Machine Learning Fundamentals ©Hui Jiang 2021, Cambridge University Press

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  1. Detailed Content
  2. Lecture Slides: Ch1, Ch2, Ch3, Ch4, Ch5, Ch6, Ch7, Ch8, Ch9, Ch10, Ch11, Ch12, Ch13, Ch14, Ch15
  1. Lab 0: Preparation
  2. Lab 1: Data Visualization
  3. Lab 2: Linear Regression
  4. Lab 3: Logistic Regression
  5. Lab 4: Support Vector Machines
  6. Lab 5: Fully-Connected Neural Networks
  7. Lab 6: Convolutional Neural Networks
  8. Lab 7: Transformers
  9. Lab 8: Matrix Factorization
  10. Lab 9: Decision Trees, Random Forests and Boosted Trees
  11. Lab 10: Gaussian Classifiers and Gaussian Mixture Models