Erinevus lehekülje "Machine learning" redaktsioonide vahel

Allikas: Kursused
Mine navigeerimisribale Mine otsikasti
42. rida: 42. rida:
  
 
[http://ciml.info/dl/v0_8/ciml-v0_8-ch13.pdf Reading II]
 
[http://ciml.info/dl/v0_8/ciml-v0_8-ch13.pdf Reading II]
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== Lecture 4: Gaussian Mixture Model & EM algorithm  ==
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[[Media:Lecture4_ML2015_GMM_and_EM.pdf ‎|Slides]]
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Home assignment Nr.1
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If you missed the class please contact the lecturer sven.nomm@gmail.com
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to receive your individual data and get assignment for the part 2.1.
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[[Media:HomeAssignmnet1.pdf | Home Assignmnet 1]]

Redaktsioon: 26. veebruar 2015, kell 11:31

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 Reading

Lecture 3: K-means & Gaussians

Slides

NB! Home assignment Nr.1 will be given next week

Reading I

Reading II

Lecture 4: Gaussian Mixture Model & EM algorithm

Slides

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.

Home Assignmnet 1