MA 751 Supplementary materials

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**Course Announcement - **

**Course information and notes – **

Syllabus

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__Notes on matrix notation

Data assignment 2 (Due Tuesday,
March 26)

Note on Bayesian statistics (Section 8.3)

Problem set 9 (Data Assignment 3)

(Note the first movie shows how Gaussian
kernel width affects SVM classification - kernel width narrows with time.

Second
shows how changing the margin parameter C affects the classification – margin
narrows with time)

**Optional additional material and examples **

2. Decision trees and random forests

**Lecture Notes - **

1. The three
pillars of machine learning

2. Probability and Measure Theory

5.
Statistical machine learning and infinite dimensions

6. Measure
spaces and Hilbert spaces

7. Reproducing
kernel Hilbert Spaces

8. Support
vector machines (SVM) (optional)

**Optional additional material and examples **

**Resources – **

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