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4 changes: 4 additions & 0 deletions README.md
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Expand Up @@ -192,6 +192,7 @@ For a complete CS self-taught program, the resources for my study plan have been
- [Linear Programming](#linear-programming-videos)
- [Geometry, Convex hull](#geometry-convex-hull-videos)
- [Discrete math](#discrete-math)
- [Basic Machine Learning Algorithms](#basic-machine-learning-algorithms)
- [Additional Detail on Some Subjects](#additional-detail-on-some-subjects)
- [Video Series](#video-series)
- [Computer Science Courses](#computer-science-courses)
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- [Computer Science 70, 001 - Spring 2015 - Discrete Mathematics and Probability Theory](http://www.infocobuild.com/education/audio-video-courses/computer-science/cs70-spring2015-berkeley.html)
- [Discrete Mathematics by Shai Simonson (19 videos)](https://www.youtube.com/playlist?list=PLWX710qNZo_sNlSWRMVIh6kfTjolNaZ8t)
- [Discrete Mathematics By IIT Ropar NPTEL](https://nptel.ac.in/courses/106/106/106106183/)

- ### Basic Machine Learning Algorithms
- [Step-by-Step ML Algorithm Solvers](https://www.stepbystepml.com/) - Interactive calculators showing the manual math for core concepts like KNN, Naive Bayes, Decision Trees, and Alpha-Beta Pruning.

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