# NBML Course

From Noisebridge

## [edit] Noisebridge Machine Learning Course

We're trying to come up with a hands-on curriculum for teaching Machine Learning at Noisebridge. Please help out in any way you can, such as:

- Volunteer to teach a course in one of the subjects below
- Fill in one of the subjects below with links to learning material and related software
- Show up to classes and ask questions
- Join the ML Mailing List and talk about stuff
- Don't talk shit on mathematics - it wants to be your friend!

### [edit] Online Machine Learning Courses

### [edit] Curriculum

#### [edit] Machine Learning

#### [edit] Linear Regression

#### [edit] Linear Classification

#### [edit] Generalized Linear Models

#### [edit] Gaussian Process

#### [edit] Support Vector Machines

#### [edit] Neural Networks

#### [edit] Clustering and Dimensional Reduction

- K-Means Clustering
- Principle Component Analysis
- Independent Component Analysis
- Dimensional Reduction and Clustering for Visualization
- Clustering Techniques for Text Collections

#### [edit] Graphical Models

#### [edit] Hidden Markov Models

#### [edit] Other Perspectives

#### [edit] The Fundamentals: Basic Math

*Note: it's not essential to understand everything in this section! But the more you learn, the more things will make sense. Wikipedia is your friend. *