NBML Course
Jump to navigation
Jump to search
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 asking questions
- Join the ML Mailing List and talk about stuff
- Don't talk shit on mathematics, it wants to be your friend.
Online Machine Learning Courses
Curriculum
Block 1: Basic Math and Machine Learning
Block 2: Linear Regression
- Linear Regression
- Least Squares Formulation
- Maximum-likelihood Formulation
- Regularization
- Ridge Regression (L2)
- Lasso Regression (L1)
- Least-angle/Elastic Net Regression
- Bayesian Linear Regression
Block 3: Linear Classification (non-SVM)
- Linear Classification
- Binary vs. Multi-class
- One-versus-the-rest, one-versus-one
- Discriminant Functions
- Binary vs. Multi-class