kuleshov/cornell-cs5785-2020-applied-ml
An applied machine learning course from Cornell Tech covering algorithms, models, and practical ML techniques.
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This repository contains executable course materials for Cornell CS5785, an applied machine learning course. It includes Jupyter notebooks and slides covering fundamental ML topics, organized with a requirements.txt for running the content locally. The materials accompany a set of YouTube lecture videos from the Fall 2020 edition of the course.
Frequently asked
- What is kuleshov/cornell-cs5785-2020-applied-ml?
- An applied machine learning course from Cornell Tech covering algorithms, models, and practical ML techniques.
- Is cornell-cs5785-2020-applied-ml open source?
- Yes — kuleshov/cornell-cs5785-2020-applied-ml is an open-source project tracked on heatdrop.
- What language is cornell-cs5785-2020-applied-ml written in?
- kuleshov/cornell-cs5785-2020-applied-ml is primarily written in Jupyter Notebook.
- How popular is cornell-cs5785-2020-applied-ml?
- kuleshov/cornell-cs5785-2020-applied-ml has 1.2k stars on GitHub.
- Where can I find cornell-cs5785-2020-applied-ml?
- kuleshov/cornell-cs5785-2020-applied-ml is on GitHub at https://github.com/kuleshov/cornell-cs5785-2020-applied-ml.