mcrovella / CS132-Geometric-Algorithms
Lecture notes for CS132
☆75Updated last month
Related projects: ⓘ
- ☆111Updated last month
- Visualizer of the decision boundaries of various ML algorithms, made at Treehacks.☆37Updated 4 years ago
- Repository for CS 506 / ENG 500 as taught by Mark Crovella - BU Computer Science☆91Updated 7 months ago
- ☆14Updated 4 years ago
- UBC CPSC 340: Machine Learning and Data Mining (2016W2)☆46Updated 5 years ago
- Repository for participants of the "Python software engineering" training☆35Updated last month
- Repository for CS282R: Robust Machine Learning at Harvard University.☆68Updated 6 years ago
- Computational Neuroscience Crash Course (University of Bordeaux, 2020)☆48Updated 3 years ago
- Collection of my assignments and work in the class MATH51 at Stanford☆80Updated 9 years ago
- Math notes from my whole degree :-) (And one CS class, and some fun physics)☆19Updated last year
- Specification files for the Foundations of Applied Mathematics lab curriculum. https://foundations-of-applied-mathematics.github.io/☆48Updated 3 weeks ago
- Solutions to Linear Algebra Done Right by Sheldon Axler, 3rd Edition☆14Updated 2 years ago
- Duke Machine Learning Winter School 2019☆27Updated 5 years ago
- A course on Linear Algebra using Python in Jupyter notebooks☆22Updated last year
- A free open-source textbook for Multivariable Calculus that emphasizes differentials and linear algebra☆36Updated 13 years ago
- Using computational thinking to get deep insights on the foundations of linear algebra☆112Updated 2 weeks ago
- A curated list of resources to help with computational research.☆20Updated 2 years ago
- Python code snippets from Discrete Mathematics for Computer Science specialization at Coursera☆319Updated last month
- Python and MATLAB code for linear algebra textbook.☆146Updated last month
- Advanced Linear Algebra: Foundations to Frontiers (ALAFF) assignments repository☆78Updated 2 years ago
- Stanford's CS229 Machine Learning lecture notes compiled into a Tufte-style textbook☆49Updated 2 years ago
- A living collection of deep learning problems☆33Updated 8 years ago
- ☆10Updated this week
- PDF TeX-based Cheat Sheet for Calculus 3☆46Updated 2 years ago
- Jupyter Notebooks for the M1 MSIAM Course "Numerical Optimization" at Université Grenoble Alpes☆23Updated last year
- Course material for 1RT700 Statistical Machine Learning☆58Updated 7 months ago
- The Mathematics of Deep Learning, SIPB IAP 2018☆74Updated 3 years ago
- Short Course on Optimization for Machine Learning - Slides and Practical Lab - Pre-doc Summer School on Learning Systems, July 3 to 7, 20…☆18Updated 6 years ago
- Learning some numerical linear algebra.☆70Updated 3 years ago
- STATS305C: Applied Statistics III (Spring, 2023)☆22Updated last year