mml-book / mml-book.github.ioLinks
Companion webpage to the book "Mathematics For Machine Learning"
☆14,283Updated 4 months ago
Alternatives and similar repositories for mml-book.github.io
Users that are interested in mml-book.github.io are comparing it to the libraries listed below
Sorting:
- VIP cheatsheets for Stanford's CS 229 Machine Learning☆18,318Updated 5 years ago
- MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville☆13,430Updated last year
- Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course☆10,537Updated last year
- Jupyter notebooks for the code samples of the book "Deep Learning with Python"☆19,321Updated last month
- "Probabilistic Machine Learning" - a book series by Kevin Murphy☆5,274Updated 2 months ago
- Python code for "Probabilistic Machine learning" book by Kevin Murphy☆6,825Updated 7 months ago
- VIP cheatsheets for Stanford's CS 230 Deep Learning☆6,609Updated 5 years ago
- Tutorials, assignments, and competitions for MIT Deep Learning related courses.☆10,324Updated last year
- Book about interpretable machine learning☆5,016Updated 3 months ago
- Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lect…☆12,612Updated 8 months ago
- Learn how to design, develop, deploy and iterate on production-grade ML applications.☆40,840Updated 10 months ago
- NYU Deep Learning Spring 2020☆6,769Updated 3 weeks ago
- Public facing notes page☆10,519Updated last month
- A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"☆9,476Updated 2 years ago
- The Python code to reproduce the illustrations from The Hundred-Page Machine Learning Book.☆1,955Updated last year
- A guideline for building practical production-level deep learning systems to be deployed in real world applications.☆4,484Updated last month
- Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. …☆26,527Updated last year
- Lab Materials for MIT 6.S191: Introduction to Deep Learning☆7,965Updated 6 months ago
- The fastai book, published as Jupyter Notebooks☆23,357Updated 10 months ago
- The 3rd edition of course.fast.ai☆4,918Updated last year
- A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning☆18,749Updated last week
- VIP cheatsheets for Stanford's CS 221 Artificial Intelligence☆2,768Updated 5 years ago
- this repository accompanies the book "Grokking Deep Learning"☆7,602Updated last year
- Classical equations and diagrams in machine learning☆7,775Updated 11 months ago
- 📺 Discover the latest machine learning / AI courses on YouTube.☆16,694Updated last year
- Data science interview questions and answers☆9,383Updated 2 months ago
- Machine learning glossary☆3,077Updated 11 months ago
- The fastai deep learning library☆27,172Updated last month
- The "Python Machine Learning (2nd edition)" book code repository and info resource☆7,178Updated 4 years ago
- Open Deep Learning and Reinforcement Learning lectures from top Universities like Stanford, MIT, UC Berkeley.☆2,547Updated 4 years ago