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Introdution

This project ties together my study of Machine Learning from coursea by Stanford University.

See doc/note.pdf to better understand Machine Learning(ML). See note/*.py if you want to generate the figure in note.pdf yourself.

Directory structure

  1. doc: Notes while learning, theory of ML, all figures are generated by python code in ‘src’ directory
  2. src: Code for ML using Python are given
  3. exercise: Octave exercises

Note: all documents are written in org-mode of Emacs

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notes to understand ML better

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