stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
Refer to concise summaries of key concepts from Stanford's Machine Learning course.
From the README
- Refreshers in related topics that highlight the key points of the prerequisites of the course.
- Cheatsheets for each machine learning field, as well as another dedicated to tips and tricks to have in mind when training a model.
- All elements of the above combined in an ultimate compilation of concepts, to have with you at all times!
Excerpts from the project README on GitHub. Copyright and licensing remain with the respective authors.
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stanford-cs-229-machine-learning has 19.8k stars on GitHub. It has been forked 4.2k times. It has been in active development since 2018. stanford-cs-229-machine-learning is available under the MIT license. Its main topics are cheatsheet, cs229, data-science, deep-learning.
What is stanford-cs-229-machine-learning?
VIP cheatsheets for Stanford's CS 229 Machine Learning
Is stanford-cs-229-machine-learning open source?
stanford-cs-229-machine-learning is an open-source project. It is released under the MIT license.
Is stanford-cs-229-machine-learning free?
Yes. stanford-cs-229-machine-learning is free and open source — you can use, modify and self-host it.
What license does stanford-cs-229-machine-learning use?
stanford-cs-229-machine-learning is available under the MIT license.
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