mitmath / 1806Links
18.06 course at MIT
☆2,889Updated 4 months ago
Alternatives and similar repositories for 1806
Users that are interested in 1806 are comparing it to the libraries listed below
Sorting:
- My Cambridge Lecture Notes☆1,431Updated last year
- Solutions to the problems in the book: Linear Algebra and Learning from Data by Gilbert Strang, MIT☆294Updated 3 years ago
- Solutions to Linear Algebra Done Right, Third Edition☆238Updated 2 years ago
- 18.330 Introduction to Numerical Analysis☆375Updated last year
- MIT 18.06 线性代数笔记☆2,250Updated 2 years ago
- ☆182Updated 7 years ago
- MIT CS 6.042 opencourseware Fall 2010 problems + solutions☆291Updated 8 years ago
- Solutions to Linear Algebra Done Right, by Sheldon Axler.☆362Updated 4 months ago
- Interactive Linear Algebra, free online textbook at Georgia Tech☆932Updated 3 years ago
- The Elements of Statistical Learning (ESL)的中文翻译、代码实现及其习题解答。☆2,619Updated 2 weeks ago
- 18.335 - Introduction to Numerical Methods course☆557Updated this week
- Tutorials and information on the Julia language for MIT numerical-computation courses.☆789Updated 8 months ago
- Repo for MIT 6.036 Machine Learning☆31Updated 4 years ago
- undergraduate numerical analysis course in MIT☆46Updated 4 years ago
- Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop☆2,442Updated 3 years ago
- Structure and Interpretation of Computer Programs☆337Updated 5 years ago
- Collection of my assignments and work in the class MATH51 at Stanford☆101Updated 10 years ago
- MLNLP: Notes for MIT-Linear-Algebra☆3,471Updated 2 years ago
- Solutions of the exercises and problems from Michael Nielsen's book Neural Networks and Deep Learning: http://neuralnetworksanddeeplearni…☆170Updated 4 years ago
- Code samples for my book "Neural Networks and Deep Learning"☆347Updated last year
- Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning☆1,556Updated 2 years ago
- All notes and materials for the CS229: Machine Learning course by Stanford University☆249Updated 4 years ago
- MIT Gilbert Strang教授的线性导数导论笔记,包含全中文书本内容和视频笔记☆321Updated 2 years ago
- Introduction to Computation and Programming Using Python☆203Updated 4 years ago
- Self-study on Larry Wasserman's "All of Statistics"☆1,156Updated 2 years ago
- The Missing Semester of Your CS Education 📚☆5,305Updated last month
- UCB EECS126 : probability theory and random processes.☆130Updated 3 years ago
- Repository of my solutions to the problems of "Learning from Data"☆276Updated 5 years ago
- 线性代数笔记☆3,981Updated 2 years ago
- ☆65Updated 2 years ago