dayeonhwang / mlrefined

Python and MATLAB code examples and demos from the textbook "Machine Learning Refined" (Cambridge University Press). See our blog https://jermwatt.github.io/mlrefined/index.html for interactive versions of many of the notebooks in this repo.

Machine Learning Refined IPython notebooks, Python and MATLAB files

See our blog here for interactive versions of the notebooks in this repo.

Python 3 and a minimal number of Python libraries are required for running the demonstration notebooks this repo. These are: numpy, pandas, matplotlib, and autograd. You can install all of them by pulling the repo and pip installing the provided requirements.txt file as follows

  git clone https://github.com/jermwatt/mlrefined
  cd mlrefined
  pip install -r requirements.txt

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This repository contains various supplementary Jupyter notebooks, Python and MATLAB files, presentations associated with the textbook Machine Learning Refined (Cambridge University Press). Visit http://www.mlrefined.com for free chapter downloads and tutorials, and our Amazon site here for details regarding a hard copy of the text.