4 ms·
Linera Regression Classification Resampling Methods Subset Selection Shrinkage Dimension Reduction Nonlinear Models Tree-based methods Support Vector Ma
by curiousgal 8y ago
Linera Regression
Classification
Resampling Methods
Subset Selection
Shrinkage
Dimension Reduction
Nonlinear Models
Tree-based methods
Support Vector Machines
Unsupervised learning
The main take away is that Machine Learning is Statistics.
- mr_toad 8y ago> The main take away is that Machine Learning is Statistics. That and brute force computation. A lot of ML models use vastly more data and bigger feature sets than was feasible when these techniques were originally developed. Stepwise regression, lassos, cross validation, etc have become much more popular as raw computing power has increased.
- bllguo 8y agothanks for this comment. I was reading the article thinking "do people really use stepwise / all-subsets regression these days?", but your point is fair.