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Teaching materials for the applied machine learning course at Cornell Tech (online edition)
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# Applied Machine Learning (Cornell CS5785) This repo contains executable course notes and slides for the Applied ML course at Cornell and Cornell Tech. <a href="http://www.youtube.com/watch?feature=player_embedded&v=vcE9WGbi4QY " target="_blank"><img src="http://img.youtube.com/vi/vcE9WGbi4QY/2.jpg" width="240" height="180" border="10" /></a> These materials accompany a set of Youtube [lecture videos](https://www.youtube.com/watch?v=vcE9WGbi4QY&list=PL2UML_KCiC0UlY7iCQDSiGDMovaupqc83) from the Fall 2020 edition of the course. ## Contents This repo is organized as follows. ``` . ├── README.md ├── notebooks # Notebooks and slides └── requirements.txt # Packages needed for your virtualenv ``` ## Setup ### Requirements You should be able to run all the contents of this repo using the packages provided in `requirements.txt`. In a new `virtualenv`, run this: ``` pip install -r requirements.txt ``` ## Feedback Please send feedback to [Volodymyr Kuleshov](https://www.cs.cornell.edu/~kuleshov/)
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Volodymyr Kuleshov · Cornell Tech · United States
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