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st: Statistical Learning online course
From
Scott Merryman <[email protected]>
To
[email protected]
Subject
st: Statistical Learning online course
Date
Thu, 19 Dec 2013 15:38:50 -0600
Trevor Hastie and Robert Tibshirani are teaching online course
(through Stanford's OpenEdX) on statistical learning using R.
http://online.stanford.edu/course/statistical-learning-winter-2014
ABOUT THIS COURSE
This is an introductory-level course in supervised learning, with a
focus on regression and classification methods. The syllabus includes:
linear and polynomial regression, logistic regression and linear
discriminant analysis; cross-validation and the bootstrap, model
selection and regularization methods (ridge and lasso); nonlinear
models, splines and generalized additive models; tree-based methods,
random forests and boosting; support-vector machines. Some
unsupervised learning methods are discussed: principal components and
clustering (k-means and hierarchical).
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