NBML Course: Difference between revisions
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==== [[Machine_Learning/NBML/HMM|Hidden Markov Models]] ==== | ==== [[Machine_Learning/NBML/HMM|Hidden Markov Models]] ==== | ||
==== [[ Other Perspectives | Other Perspectives]] ==== | |||
*[[Machine_Learning/Linguistics and The Role of Language | Linguistics and The Role of Language]] | |||
**[[Machine_Learning/Symbolic Methods and Machine Understanding |Symbolic Methods and Machine Understanding]] | |||
*[[Machine_Learning/Simulation and Integrated Software Systems |Simulation and Integrated Software Systems]] | |||
**[[Machine_Learning/Autonomous Agents and Evolutionary (Learning) Algorithms |Autonomous Agents and Evolutionary (Learning) Algorithms]] | |||
==== The Fundamentals: Basic Math ==== | ==== The Fundamentals: Basic Math ==== |
Revision as of 21:40, 13 January 2011
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!
Online Machine Learning Courses
Curriculum
Machine Learning
Linear Regression
Linear Classification
Generalized Linear Models
Support Vector Machines
Neural Networks
Clustering and Dimensional Reduction
- K-Means Clustering
- Principle Component Analysis
- Independent Component Analysis
- Dimensional Reduction and Clustering for Visualization
- Clustering Techniques for Text Collections
Graphical Models
Hidden Markov Models
Other Perspectives
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.