Welcome to CS 330: Artificial Intelligence

Welcome to Practice page!

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Reading materials

  1. Introduction material
  2. Linear Algebra
  3. AI write its own code from New York Times
  4. AI predicts early Alzheimer’s with near 100% accuracy
  5. Probability and Information Theory
  6. Fun material to understand Bayesian theory
  7. AI Completed Beethoven’s Unfinished Tenth Symphony
  8. Commonly used command on Linux system
  9. The murder mystery (Online book chapter)
  10. Bayesian network (Book chapter 8 of Pattern Recognition And Machine Learning, Bishop)
  11. PLU Safari e-book for using Google Cloud computing
  12. Information Gain (Material from CMU for understanding information theory)
  13. Practice and examples of naive bayesian algorithm (Download 20 newsgroup data and explore naive bayesian network)
  14. How to implement decision tree from scratch
  15. Reading materails for Naive Bayes and Logistic Regression
  16. Reading materails for Numpy
  17. Java program to calculate Entropy
  18. Reading materails for Neural network
  19. Reading materails for backpropogation algorithm
  20. Reading materails for difficulty of training deep neural network
  21. Reading materails for Deep Learning - convolutional networks