Machine Learning practice session (29.04)

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Klipi teostus: Mirjam Paales, Sven Laur 29.04.2013 3643 vaatamist Arvutiteadus


XII. Principal component analysis

Given by Sven Laur

Home exercises to the XII session
PCA analysis task
PCA notes
Materials for the exercise session
Data for image analysis
Session transcript Δ
Deadline: May 6

Seotud videod

Machine Learning - Ia. Introduction to the course
12.02.13
Machine Learning - practice session (18.02)
18.02.13
Machine Learning - Linear models and polynomial interpolation
19.02.13
Machine Learning - practice session (25.02)
25.02.13
Machine Learning - Performance evaluation measures
26.02.13
Machine Learning - Introduction to optimization
05.03.13
Machine Learning - practice session (11.03)
11.03.13
Machine Learning - Linear Classification
12.03.13
Machine Learning - practice session (18.03)
18.03.13
Machine Learning - Feed-forward neural networks for prediction tasks
19.03.13
Machine Learning - practice session (25.03)
25.03.13
Machine Learning - Basics of probabilistic modelling
26.03.13
Machine Learning practice session (1.04)
01.04.13
Machine Learning - Maximum likelihood and maximum a posteriori estimates
02.04.13
Machine Learning practice session (8.04)
08.04.13
Machine Learning - Model-based clustering techniques
09.04.13
Machine Learning - practice session (15.04)
15.04.13
Machine Learning - Expectation-maximisation and data augmentation algorithms
16.04.13
Machine Learning practice session (22.04)
22.04.13
Machine Learning - Principal Component Analysis
23.04.13
Machine Learning - Statistical learning theory
30.04.13
Machine Learning practice session (6.05)
06.05.13
Machine Learning - Support Vector Machines
07.05.13
Machine Learning - Kernel Methods
14.05.13
Machine Learning practice session (21.05)
20.05.13
Machine Learning - Basics of ensemble methods
21.05.13
Machine Learning - Particle filters
28.05.13