ATIAM
ATIAM
This page contains the slides and assignments for parts of the musical informatics lesson presented at the ATIAM master in IRCAM.
- Data structure and algorithms
- Reactive programming - PureData
- Distributed musical informatics
- Musical machine learning
Musical machine learning
The main page for musical machine learning can be found here, but this provides a quick summary of the program.
Slides
Data complexity and GPU computing
Math revisions
- Linear algebra revision slides from Andrew Ng
- Probability revision slides from Andrew Ng
- Statistics course notes from William Faris
- Sampling pages 20 to 31 from Iain Murray
- Matrix calculus in the Matrix Cookbook