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Algorithmic Foundations of Machine Learning



This is class is about machine learning. We will cover the classical topics of classification, regression, ranking and clustering that are important in many applications including spam filtering, web search and others.

Suggested reading:

  • Christopher Bishop. Pattern Recognition and Machine Learning. Springer Verlag
  • Trevor Hastie, Robert Tibshirani, and Jerome Friedman.The Elements of Statistical Learning: Data Mining, Inference, and Prediction. Springer Verlag
  • Andre Ng. Machine Learning. (lecture notes)
  • Shai-Shalev-Shwartz and Shai Ben-David. Understanding Machine Learning: From Theory to Algorithms. Cambridge University Press

Please register for this class through CAJ (only for registered users).