niuers / Linear-Algebra-and-Learning-from-DataLinks
Solutions to the problems in the book: Linear Algebra and Learning from Data by Gilbert Strang, MIT
☆311Updated 3 years ago
Alternatives and similar repositories for Linear-Algebra-and-Learning-from-Data
Users that are interested in Linear-Algebra-and-Learning-from-Data are comparing it to the libraries listed below
Sorting:
- My solutions to DLFC - Deep Learning: Foundations and Concepts☆93Updated 10 months ago
- Additional exercises and data for EE364a. No solutions; for public consumption.☆866Updated 7 months ago
- 🌀 Stanford CS 228 - Probabilistic Graphical Models☆92Updated 7 years ago
- Material for the "Probabilistic Machine Learning" Course at the University of Tübingen, Summer Term 2023☆200Updated 2 years ago
- Solutions to the exercises and problems in the book: Learn From Data_A Short Course by Yaser Abu-Mostafa, Malik Magdon-Ismail and Hsuan-T…☆254Updated 3 years ago
- Self-study on Larry Wasserman's "All of Statistics"☆1,207Updated 3 years ago
- Own solutions for exercises and MATLAB example codes for "Numerical Linear Algebra" by Lloyd N. Trefethen and David Bau III, 1997☆96Updated last year
- Python code (in the form of Jupyter ipython notebooks) to support the book "Math and Architectures of Deep Learning" (Krishnendu Chaudhur…☆246Updated last year
- Material for The Mathematical Engineering of Deep Learning. See https://deeplearningmath.org☆466Updated last year
- ☆69Updated last week
- This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Fais…☆300Updated 5 years ago
- Code for the book "Mathematical Introduction to Deep Learning: Methods, Implementations, and Theory"☆240Updated 5 months ago
- This repository contains the supplementary material associated with my book: Essential Math for AI published by O'Reilly Media☆399Updated 3 months ago
- ☆242Updated 3 years ago
- Inside Deep Learning: The math, the algorithms, the models☆274Updated 2 years ago
- My lecture notes during times at UCL.☆35Updated 4 years ago
- 涉及机器学习中深度学习、强化学习、监督学习、集成学习相关的pdf书籍及其个人的阅读笔记☆176Updated 6 years ago
- Python & Matlab code for the figures from the book "Learning Theory from First Principles" by Francis Bach☆137Updated last year
- ☆184Updated 3 years ago
- ☆91Updated 2 years ago
- ☆287Updated 3 years ago
- ☆195Updated 7 years ago
- NYU Course Notes & Resources☆256Updated last year
- Up-to-date version of labs for ISLP☆1,233Updated last week
- A collection of awesome mathematics and computer science courses☆139Updated last year
- All notes and materials for the CS229: Machine Learning course by Stanford University☆272Updated 4 years ago
- Implementation of basic mathematical pattern recognition/machine learning techniques for fun☆136Updated 3 years ago
- 🌲 Stanford CS 228 - Probabilistic Graphical Models☆158Updated last year
- ☆84Updated 5 years ago
- ☆69Updated 2 years ago