1Machine Learning (ml module) {#tutorial_table_of_content_ml}
2============================
3
4Use the powerful machine learning classes for statistical classification, regression and clustering
5of data.
6
7-   @subpage tutorial_introduction_to_svm
8
9    *Compatibility:* \> OpenCV 2.0
10
11    *Author:* Fernando Iglesias García
12
13    Learn what a Suport Vector Machine is.
14
15-   @subpage tutorial_non_linear_svms
16
17    *Compatibility:* \> OpenCV 2.0
18
19    *Author:* Fernando Iglesias García
20
21    Here you will learn how to define the optimization problem for SVMs when it is not possible to
22    separate linearly the training data.
23
24-   @subpage tutorial_introduction_to_pca
25
26    *Compatibility:* \> OpenCV 2.0
27
28    *Author:* Theodore Tsesmelis
29
30    Learn what a Principal Component Analysis (PCA) is.
31