Erinevus lehekülje "Machine learning" redaktsioonide vahel
| 98. rida: | 98. rida: | ||
[[Media:HomeAssignmnet3.pdf |Assignment]] | [[Media:HomeAssignmnet3.pdf |Assignment]] | ||
[[Media:HomeAssignment3.zip |Data]] | [[Media:HomeAssignment3.zip |Data]] | ||
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| + | == Lecture 12: Markov chains and hidden Markov models == | ||
| + | [[Media:Lecture12_ML2015_N_Markov_chains_and_hMm.pdf |Slides]] | ||
Redaktsioon: 23. aprill 2015, kell 09:57
Previous years: 2014
Spring 2014/2015
ITI8565: Machine learning
Taught by: Sven Nõmm
EAP: 6.0
Time and place: Thursdays
Lectures: 14:00-15:30 ICT-A2 Labs: 16:00-17:30 ICT-405
Consultation: by appointment
Additional information: sven.nomm@ttu.ee
The course is organised by the Department of Comptuer Science. The course is supported by IT Academy.
Lecture 1: Introduction, decision trees
Example made in class - When to play tennis?
Reading - contains also the full algorithm for decision tree learning with divide-and-conquer strategy.
Lecture 2: k-nearest neighbors
Data file for the practice Reading
Lecture 3: K-means & Gaussians
NB! Home assignment Nr.1 will be given next week
Lecture 4: Gaussian Mixture Model & EM algorithm
Home assignment Nr.1 If you missed the class please contact the lecturer sven.nomm@gmail.com to receive your individual data and get assignment for the part 2.1.
Lecture 5: Linear Regression
Lecture 6: Logistic Regression
Home Assignment 1: Grades
Lecture 7: Logistic Regression
Home assignment Nr.2 If you missed the class please contact the lecturer sven.nomm@gmail.com to receive your individual data.
Lecture 8: Artificial neural networks
Lecture 9: Competitive learning
Lecture 10: Neural networks
Lecture 11: Multiclass classification
Home Assignment 3: Neural networks