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Introduction to Statistical Machine Learning (COMP SCI 4401/7401), Semester 2, 2014


Teacher:: Dr. Javen Qinfeng Shi (Coordinator) and Prof. Chunhua Shen

Video Recording: Recorded vdieos can be found here. Lecture 1 was not recorded due to IT failure.

Lecture Time: 28 Jul - 15 Sep, Monday 2pm - 4pm; 6 Oct - 27 Oct, Monday 2pm - 4pm.

Location: Ingkarni Wardli, B20, Teaching Suite benefits.

Schedule:

  1. 28 July [Javen] Machine Learning Problem [ slides ]

  2. 4 Aug. [Javen] Supervised Learning --- Classification --- Algorithms including: KNN, Perceptron, SVM, LogReg [ slides]

  3. 11 Aug. [Chunhua] Supervised Learning --- Classification --- Boosting Algorithms [ slides]

  4. 18 Aug. [Chunhua] Supervised Learning --- Regression [ slides]

  5. 25 Aug. [Chunhua] Unsupervised Learning and Semi-Supervised Learning [ slides1][ slides2]

  6. 1 Sep. [Chunhua] Dimension reduction [ slides]

  7. 8 Sep. [Javen] Probabilistic Graphical Models --- Representation [ slides]

  8. 15 Sep. [Javen] Probabilistic Graphical Models --- Inference [ slides]

  9. ---- Mid-term Break ----

  10. 6 Oct. [Javen] Probabilistic Graphical Models --- Learning (Announcement: Monday is a Public holiday, thus no lecture then on Monday. The lecture content will be merged to the next lecture on 13 Oct. 2014.)

  11. 13 Oct. [Javen] Probabilistic Graphical Models --- Structure Estimation

  12. 20 Oct. [Javen] Kernels

  13. 27 Oct. [Javen] Learning Theory