Ideas for Spring 2016

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Grant edited this page Dec 8, 2015 · 15 revisions

###Topics Semi-ordered list of topics we'd like to cover in the Spring 2016 research course (please be as specific as possible to narrow down the scope):

Linear Algebra
- Matrix Inverse
- Determinants
- Eigenvectors + EigenValues
- Singular Value Decomposition
Probabilities
- Discrete Distributions
- Multinomial Logit/Probit
- Chain Rule

Resources:

Jason's Applied NLP course
Andrew Ng's Machine Learning course at Stanford (not the coursera course)