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README.md

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@@ -13,3 +13,5 @@ We split the book into two parts:
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* Example machine learning algorithms that use the mathematical foundations
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We aim to keep this book reasonably short, so we cannot cover everything. We will also provide exercises for part 1 and jupyter notebooks for part 2 of the book.
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The notebooks can be run live on [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/mml-book/mml-book.github.io/master?filepath=tutorials).

environment.yml

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name: mml-book
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dependencies:
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- numpy
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- scipy
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- matplotlib
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- scikit-learn
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- pandas

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