Machine Learning Links

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Practical machine learning: methods and algorithmics

Deep Learning

Caret (R Library for Machine Learning):

• Tutorials:
  • http://www.edii.uclm.es/~useR-2013/Tutorials/kuhn/user_caret_2up.pdf
  • http://cran.r-project.org/web/packages/caret/vignettes/caret.pdf
  • Model Training and Tuning
  • Visualizations
  • Pre-Processing
• Papers:
  • Building Predictive Models in R Using the caret Package

Algorithms:

• Choosing the right estimator
• Comparing Supervised Learning Algorithms
• Bagging and Boosting
• Random Forests
• Boosting:
  • Tutorials:
    • A Tutorial on Boosting
    • Boosting Tutorial
  • Papers:
    • The BigChaos Solution to the Netflix Grand Prize $ My milestone 1 solution to the Heritage Health Prize

Model-based clustering, discriminant analysis, and density estimation

Forecasting:

• Forecasting: principles and practice
• Forecasting and timeseries prediction

Regularized Regression:

• Hector Corrada Bravo's Practical Machine Learning lecture notes
• Hector's penalized regression reading list