Mar 21 - Machine Learning

Ibisia's Lab

Common ML models in remote sensing:

• Random Forests

  • Breiman, Leo. "Random forests." Machine learning 45 (2001): 5-32.
    
    

• Support Vector Machines

  • Boser, Bernhard E., Isabelle M. Guyon, and Vladimir N. Vapnik. "A training algorithm for optimal margin classifiers." Proceedings of the fifth annual workshop on Computational learning theory. 1992.
    
    

• Neural networks

  • Rosenblatt, F. (1958). "The Perceptron: A Probabilistic Model For Information Storage And Organization In The Brain". Psychological Review. 65 (6): 386–408.
    
    

• Partial Least Square Regression

  • Wold, Herman (1966). "Estimation of principal components and related models by iterative least squares". In Krishnaiaah, P.R. (ed.). Multivariate Analysis. New York: Academic Press. pp. 391–420.

Tools of the trade:

• Scikit-learn : https://scikit-learn.org/stable/index.html

• Various R packages

  • The caret Package (topepo.github.io)

  • Tidy Modeling with R (tmwr.org)

Useful learning material:

• https://www.youtube.com/@3blue1brown

• https://www.youtube.com/@statquest

• https://faculty.washington.edu/sbrunton/DataBookV2.pdf and https://www.youtube.com/watch?v=oEXR9EnAtm4

• Michael Marks - What is Machine Learning?

• ENVI Deep Learning Updates