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Solutions of and notes for Machine Learning: a Probabilistic Perspective

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Solutions for MLAPP
2017-03-06
mlapp, statistics, jupyter

This project includes my solutions and notes to the book Machine Learning: a Probabilistic Perspective by Kevin Patrick Murphy when I was learning this book.

The solutions are written in the Jupyter Notebook format .ipynb, which supports python/markdown cells with pretty output. Solutions are written in markdown cells with Mathjax extension for equations.

Read online

As long as you do not need to modify it, you do not have to install Jupyter Notebook. Desktop version site of Github also supports ipynb. But unfortunately, it looks bad and does not support predefined macros, which make it only a fallback or a fast preview.

  • nbviewer is an official online viewer for read only purpose.
  • my blog also has html generated for this project.

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