dair-ai / Mathematics-for-MLLinks
🧮 A collection of resources to learn mathematics for machine learning
☆5,139Updated 2 years ago
Alternatives and similar repositories for Mathematics-for-ML
Users that are interested in Mathematics-for-ML are comparing it to the libraries listed below
Sorting:
- Machine Learning Notebooks☆3,389Updated last year
- 🎓 Sharing machine learning course / lecture notes.☆6,223Updated last year
- 🧠 A study guide to learn about Transformers☆1,595Updated 2 years ago
- Machine Learning Open Source University☆895Updated last week
- 📺 Discover the latest machine learning / AI courses on YouTube.☆16,660Updated last year
- Pen and paper exercises in machine learning☆2,356Updated last year
- Free course that takes you from zero to Reinforcement Learning PRO 🦸🏻🦸🏽☆1,105Updated last year
- Teaching materials for the applied machine learning course at Cornell Tech (online edition)☆1,134Updated 2 years ago
- A collection of resources to learn about MLOPs.☆935Updated 2 years ago
- 200+ detailed flashcards useful for reviewing topics in machine learning, computer vision, and computer science.☆2,104Updated 3 weeks ago
- https://huyenchip.com/ml-interviews-book/☆3,760Updated 3 months ago
- Learn how to design, develop, deploy and iterate on production-grade ML applications.☆3,146Updated 10 months ago
- A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.☆4,858Updated last year
- ☆1,440Updated 7 months ago
- Explanation to key concepts in ML☆7,627Updated this week
- A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2025 without ANY background in the field …☆4,796Updated 3 weeks ago
- Collection of useful data science topics along with articles, videos, and code☆4,109Updated 2 weeks ago
- ☆1,443Updated 2 years ago
- Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.☆11,062Updated last year
- Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.☆7,537Updated last year
- 🟠 A study guide to learn about Graph Neural Networks (GNNs)☆1,217Updated 2 years ago
- Practical machine learning notebook & articles covers the machine learning end to end life cycle.☆929Updated last year
- My small cheatsheets for data science, ML, computer science and more.☆1,646Updated 2 years ago
- Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science☆4,070Updated 7 months ago
- Resoruce to help you to prepare for your comming data science interviews☆1,200Updated 8 months ago
- Data Science Roadmap from A to Z☆3,831Updated last month
- A list of 99 machine learning projects for anyone interested to learn from coding and building projects☆922Updated 11 months ago
- This is Andrew NG Coursera Handwritten Notes.☆3,134Updated last year
- "Probabilistic Machine Learning" - a book series by Kevin Murphy☆5,258Updated 2 months ago
- Source code accompanying O'Reilly book: Machine Learning Design Patterns☆2,002Updated 4 years ago