alexjungaalto / MachineLearningTheBasicsLinks
Working files for the textbook project "Machine Learning. The Basics"
☆123Updated last month
Alternatives and similar repositories for MachineLearningTheBasics
Users that are interested in MachineLearningTheBasics are comparing it to the libraries listed below
Sorting:
- Deep Learning from Scratch with PyTorch☆120Updated 5 years ago
- My solutions to the assignments in the book: "A Student’s Guide to Bayesian Statistics" by Ben Lambert.☆72Updated last year
- Course material for 1RT700 Statistical Machine Learning☆64Updated last month
- Workshop on Bayesian inference using PyMC☆27Updated 4 years ago
- Repository for a workshop on Bayesian Decision Analysis☆74Updated 2 years ago
- ☆69Updated last year
- pipreqs with jupyter notebook support☆71Updated 2 years ago
- Materials for The Alan Turing Institute's Research Software Engineering course☆259Updated 6 months ago
- Notebooks for "Probabilistic Machine Learning" book☆202Updated 3 years ago
- Introduction to deep learning☆53Updated last week
- PyData London 2022 Tutorial☆68Updated 3 years ago
- ☆45Updated 5 years ago
- Content from the University of British Columbia's Master of Data Science course DSCI 572.☆41Updated 4 years ago
- Applied Machine Learning with Python☆80Updated last year
- http://cranmer.github.io/stats-ds-book☆73Updated 4 years ago
- Jupyter Notebook for the "Scientific Computing in Python: Introduction to NumPy and Matplotlib" blog article☆49Updated 4 years ago
- DRL university course lecture notes & exercises☆86Updated 2 years ago
- Notes on mathematical topics that pertain to machine learning☆112Updated 3 years ago
- ☆151Updated 3 years ago
- Course notes for MSDS621 at Univ of San Francisco, introduction to machine learning☆346Updated 3 years ago
- Source material for Python Like You Mean it☆172Updated last year
- PyData London 2019 Tutorial on Markov chain Monte Carlo with PyMC3☆160Updated 5 years ago
- Statistical Rethinking: A Bayesian Course Using Python and NumPyro☆90Updated 4 years ago
- A Pythonic introduction to methods for scaling your data science and machine learning work to larger datasets and larger models, using th…☆118Updated 2 years ago
- Code used to obtain results for my medium articles☆76Updated 2 years ago
- ☆13Updated 3 years ago
- PythonHPC☆115Updated 2 years ago
- Crash course to master gradient-based machine learning. Also secretly a JAX course in disguise!☆230Updated last year
- vanilla machine learning☆112Updated 2 years ago
- Content from the University of British Columbia's Master of Data Science course DSCI 511.☆96Updated 2 years ago