Data Warehousing and Machine Learning (DWML)
Lecture #10: Bayesian Networks, EM Algorithm
Time and place:
Wednesday 3 April 2002, 10:15-12:00 in Room E1-214
Instructor:
Uffe Kjærulff
Literature:
Tom Mitchell (1997),
Machine Learning
, Ch. 6 (excl. 6.1-6.10), McGraw Hill.
Exercises:
6.6 + implement network in Hugin. What is P(PlayTennis=yes) in case of rain and strong wind?
Slides:
26 slides on 26 sheets (
PostScript
(231 KB))
Handouts:
26 slides on 7 sheets (
PostScript
(242 KB),
PDF
(153 KB))