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R Machine Learning

1 Machine learning

1.1 course

http://www.cs.toronto.edu/~rsalakhu/STA4273_2015/

1.2 dataset

http://archive.ics.uci.edu/ml/

2 R Machine learning

2.1 Neural networks

http://www.ai-junkie.com/ann/evolved/nnt8.html

https://www.r-bloggers.com/fitting-a-neural-network-in-r-neuralnet-package/

2.2 Hidden Markov Models

http://web.stanford.edu/class/stats366/hmmR2.html

http://yunus.hacettepe.edu.tr/~iozkan/eco742/hmm.html

2.3 Loess

x <- 1:10
y <- c(2,4,6,8,7,12,14,16,18,20)
lo <- loess(y~x)
plot(x,y)
lines(predict(lo), col='red', lwd=2)

2.4 Recommender system

• recommenderlab

http://bigdata-doctor.com/recommender-systems-101-practical-example-in-r/

2.5 Feature selection

• caret

http://machinelearningmastery.com/feature-selection-with-the-caret-r-package/

2.6 deep learning

http://www.teglor.com/b/deep-learning-libraries-language-cm569/

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