Erinevus lehekülje "Machine learning" redaktsioonide vahel

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[[Media: data_lecture2.zip|Data file for the practice]]
 
[[Media: data_lecture2.zip|Data file for the practice]]
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== Lecture 3: K-means & Gaussians  ==
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[[Media:Lecture3_ML2015_K_means.pdf ‎|Slides]]

Redaktsioon: 19. veebruar 2015, kell 10:57

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

Slides

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

Slides

Data file for the practice

Lecture 3: K-means & Gaussians

Slides