yung-web / MathMLLinks
Mathematics for Machine Learning Lecture Notes
☆45Updated 4 years ago
Alternatives and similar repositories for MathML
Users that are interested in MathML 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…☆296Updated 5 years ago
- Awesome list and projects of Time Series☆30Updated 2 years ago
- Unofficial implementation in Python porting of the book "Algorithms for Optimization" (2019) MIT Press by By Mykel J. Kochenderfer and Ti…☆53Updated 2 years ago
- 🌀 Stanford CS 228 - Probabilistic Graphical Models☆90Updated 6 years ago
- Practical Guide to Applied Conformal Prediction, published by Packt☆194Updated last month
- Statistical Inference Course☆43Updated last year
- Official code repo for the O'Reilly Book - Machine Learning for High-Risk Applications☆104Updated 2 years ago
- Resources for education in statistics and machine learning: from advanced undergraduate to research level☆103Updated last year
- Time Series Textbooks- This repository aims to provide a host of resources that cover the gamut of time series analysis.☆129Updated 6 months ago
- Deep Learning and XAI Techniques for Anomaly Detection, published by Packt☆39Updated 2 weeks ago
- Here are the notebooks for the Gaussian Processes and Bayesian Optimization course. The notebooks can be executed in Google Colab.☆27Updated last year
- Probabilistic Deep Learning finds its application in autonomous vehicles and medical diagnoses. This is an increasingly important area of…☆71Updated 3 months ago
- Computer Vision and Pattern Recognition, NUS CS4243, 2022☆178Updated 3 years ago
- Materials of the Nordic Probabilistic AI School 2023.☆91Updated 2 years ago
- Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, ca…☆177Updated last year
- A collection of awesome mathematics and computer science courses☆138Updated last year
- In this repository, I will try to solve interview questions that are mostly about probability theory and stats.☆13Updated 3 years ago
- A collection of companion Jupyter notebooks for Ensemble Methods for Machine Learning (Manning, 2023)☆91Updated 2 years ago
- Material for the "Probabilistic Machine Learning" Course at the University of Tübingen, Summer Term 2023☆197Updated 2 years ago
- ☆89Updated 2 years ago
- ☆42Updated 3 years ago
- ☆116Updated last year
- Lecture notes & Exercises☆46Updated 3 years ago
- ☆29Updated last year
- 🌲 Stanford CS 228 - Probabilistic Graphical Models☆150Updated last year
- Machine Learning for Imbalanced Data, published by Packt☆277Updated 2 weeks ago
- Machine Learning for Time-Series with Python.Published by Packt☆305Updated 2 weeks ago
- ☆22Updated 2 years ago
- References to the Medium articles☆86Updated 3 years ago
- Notebooks for "Probabilistic Machine Learning" book☆202Updated 3 years ago