Erinevus lehekülje "Machine learning" redaktsioonide vahel

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[[Media: Lecture8_Practice.zip|Data file for the practice]]
 
[[Media: Lecture8_Practice.zip|Data file for the practice]]
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== Lecture 9: Competitive learning ==
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[[Media:Lecture9_ML2015_N_Competitive_Learning.pdf ‎|Slides]]
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[[Media: Lecture9_Practice.zip|Data file for the practice]]

Redaktsioon: 2. aprill 2015, kell 09:50

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

Reading

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

Lecture 5: Linear Regression

Slides

Data file 1 for the practice

Lecture 6: Logistic Regression

Slides

Home Assignment 1: Grades

Grades as for 16.03.2015

Lecture 7: Logistic Regression

Slides

Home assignment Nr.2 If you missed the class please contact the lecturer sven.nomm@gmail.com to receive your individual data.

Grades as for 23.03.2015

Home Assignmnet 2

Lecture 8: Artificial neural networks

Slides

Data file for the practice


Lecture 9: Competitive learning

Slides

Data file for the practice