ML-foundations
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
Explore foundational topics in math and computer science that support modern machine learning techniques.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytimeMachine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
ML-foundations has 4.8k stars on GitHub. It has been forked 2.3k times. ML-foundations is written mainly in Jupyter Notebook. It has been in active development since 2020. ML-foundations is available under the MIT license. Its main topics are calculus, computer-science, data-science, data-structures.
What is ML-foundations?
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
Is ML-foundations open source?
ML-foundations is an open-source project. It is released under the MIT license.
Is ML-foundations free?
Yes. ML-foundations is free and open source — you can use, modify and self-host it.
What license does ML-foundations use?
ML-foundations is available under the MIT license.
What language is ML-foundations written in?
ML-foundations is written mainly in Jupyter Notebook.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/jonkrohn-ml-foundations.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.