Erinevus lehekülje "Machine learning" redaktsioonide vahel
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| 32. rida: | 32. rida: | ||
[[Media: data_lecture2.zip|Data file for the practice]] | [[Media: data_lecture2.zip|Data file for the practice]] | ||
| + | [http://ciml.info/dl/v0_8/ciml-v0_8-ch02.pdf Reading] | ||
== Lecture 3: K-means & Gaussians == | == Lecture 3: K-means & Gaussians == | ||
[[Media:Lecture3_ML2015_K_means.pdf |Slides]] | [[Media:Lecture3_ML2015_K_means.pdf |Slides]] | ||
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| + | NB! Home assignment Nr.1 will be given next week | ||
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| + | [http://ciml.info/dl/v0_8/ciml-v0_8-ch02.pdf Reading I] | ||
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| + | [http://ciml.info/dl/v0_8/ciml-v0_8-ch13.pdf Reading II] | ||
Redaktsioon: 19. veebruar 2015, kell 11:01
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