Department of Computer Science and Technology

Course pages 2017–18

Machine Learning and Algorithms for Data Mining

Lecture notes

  • Lecture 1: Introduction (lecture, print)
  • Lectures 2, 3 and 4: Support Vector Machines (lecture, print)
  • Lecture 5: Logic, Reasoning and Machine Learning (lecture, print)
  • Practical (lectures 6 and 7): SVM
  • Lectures 8 and 9: Spectral graph theory and graph clustering (lecture, print)
  • Addition: Spectral graph clustering demonstration lecture.
  • Lecture 10: Concentration of Measure and Dimensionality Reduction (lecture, print).
  • Lecture 11: Random Walks, Page-Rank and Local Clustering (lecture, print).