Teaching : Statistical Machine Learning and Data Mining (MS1b HT2014)

Term: Hilary Term, January 20 - March 14, 2014
Lecturer: Yee Whye Teh
Teaching Assistants: Part C: Thibaut Lienart
MSc: Balaji Lakshminarayanan and Maria Lomeli
Lectures: 1400-1500 Mondays (Math Institute L4)
1000-1100 Wednesdays (Math Institute L3)
Problem Sheets:
Part C Classes:
MSc Classes:
Due 1200 the Fridays prior to classes in 1 South Parks Road (SPR).
1600-1700 Tuesdays (Weeks 3-8) in 1 SPR Seminar Room.
1400-1600 Tuesdays (Weeks 3, 5, 7, 9) in 2 SPR Seminar Room.
(MSc only)
1400-1800 Friday Week 5 (unassessed) in 1 SPR Computing Lab.
1400-1800 Friday Week 7 (assessed) in 1 SPR Computing Lab.
Google Group: https://groups.google.com/forum/?hl=en-GB#!forum/smldm


Slides and Problem Sheets


You will need to use the R statistical programming language and environment for this course.


Recommended textbooks on statistical machine learning and data mining. The technical developments follow Hastie et al most closely, while programming follows mostly Ripley. Various other sources are used as well.

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