Home
Schedule
Course Outline
Extra Resources
Extra Resources
Courses
Brown Intro to ML
(Felzenszwalb)
Brown Intro to ML
(Sudderth)
Dartmouth Intro to ML
(Lorenzo Torresani)
Brown Intro to Computer Vision
(Hays)
Bryn Mawr ML
(Eaton)
Oregon State CS 434: ML and Data Mining
(Xiaoli Fern)
Swarthmore AI
(Meeden)
UPenn CIS 419/519 Intro to ML
(Eaton)
UPenn CIS 520 ML
(Ungar)
Stanford CS 229
(Ng)
MATLAB
Brown Intro to ML MATLAB tutorial
Brown Intro to Computer Vision MATLAB tutorial
yagtom
: Yet Another Guide MATLAB
Coursera Octave tutorial
Data Sets
UCR Time Series Data
TODO: UCI
MNIST
Kaggle
Papers
Salzberg S.
On comparing classifiers: Pitfalls to avoid and a recommended approach
. Data Mining and Knowledge Discovery 1997; 1:317–327
Ratanamahatana, C. A. and Keogh. E,
Everything you know about Dynamic Time Warping is Wrong
Mitchell chapter on decision trees
A Neural Network for Factoid Question Answering over Paragraphs
by Mohit Iyyer, Jordan Boyd-Graber, Leonardo Claudino, Richard Socher, Hal Dauḿe III, EMNLP 2014.