uu-sml / course-sml-publicLinks
Course material for 1RT700 Statistical Machine Learning
☆64Updated last month
Alternatives and similar repositories for course-sml-public
Users that are interested in course-sml-public are comparing it to the libraries listed below
Sorting:
- This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Fais…☆294Updated 5 years ago
- Page for the SML book☆55Updated 3 years ago
- ☆89Updated 2 years ago
- Notebooks for a course☆41Updated 5 years ago
- 🌀 Stanford CS 228 - Probabilistic Graphical Models☆89Updated 6 years ago
- Notes on mathematical topics that pertain to machine learning☆112Updated 3 years ago
- Notebooks for "Probabilistic Machine Learning" book☆202Updated 3 years ago
- ☆151Updated 3 years ago
- Essential mathematics for applied machine learning and data science☆79Updated 3 years ago
- Statistical Inference Course☆43Updated 10 months ago
- Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen☆222Updated last year
- Lecture Notes on Statistical Inference☆77Updated last year
- Python and MATLAB code for linear algebra textbook.☆197Updated last year
- My solutions to the assignments in the book: "A Student’s Guide to Bayesian Statistics" by Ben Lambert.☆72Updated last year
- Applied Probability Theory for Everyone☆120Updated last year
- Working files for the textbook project "Machine Learning. The Basics"☆123Updated last month
- ☆45Updated 5 years ago
- Bayesian Bandits☆68Updated 2 years ago
- Python code (in the form of Jupyter ipython notebooks) to support the book "Math and Architectures of Deep Learning" (Krishnendu Chaudhur…☆222Updated last year
- Python & Matlab code for the figures from the book "Learning Theory from First Principles" by Francis Bach☆128Updated last year
- Lectures for INFO8004 Advanced Machine Learning, ULiège☆114Updated 7 months ago
- Programs☆116Updated last year
- Jupyter notebooks with the Python equivalent to the R code sections in Blitzstein and Hwang's Introduction To Probability, Second Edition☆74Updated 6 years ago
- Inside Deep Learning: The math, the algorithms, the models☆267Updated 2 years ago
- Statistics and Machine Learning in Python☆70Updated 4 years ago
- Code used to obtain results for my medium articles☆76Updated 2 years ago
- Utilities for probabilistic ML☆36Updated 2 years ago
- DRL university course lecture notes & exercises☆86Updated 2 years ago
- Material for the "Probabilistic Machine Learning" Course at the University of Tübingen, Summer Term 2023☆189Updated 2 years ago
- DS-GA 1013 Mathematical Tools for Data Science☆52Updated 4 years ago