alexsosn / MarslandMLAlgo
Code and data for the second edition of the textbook `Machine Learning: An Algorithm Perspective" by Stephen Marsland.
☆150Updated 3 years ago
Alternatives and similar repositories for MarslandMLAlgo:
Users that are interested in MarslandMLAlgo are comparing it to the libraries listed below
- Materials for "Bayesian Methods for Machine Learning" Coursera MOOC☆134Updated 4 years ago
- Doing Bayesian statistics in Python!☆67Updated 7 years ago
- Resources for STA 633 class☆167Updated 7 years ago
- Python Version of BRML toolbox for Bayesian Reasoning and Machine Learning☆163Updated 9 years ago
- COMS W4995 Applied Machine Learning - Spring 18☆158Updated 5 years ago
- my blog☆266Updated 2 years ago
- Bayesian Analysis with Python by Packt☆217Updated 2 years ago
- ☆72Updated 6 years ago
- Python version of programming assignments for "Neural Networks for Machine Learning" Coursera course taught by Geoffrey Hinton.☆78Updated 7 years ago
- Machine learning with Python tutorial at MSU Data Science 2018☆108Updated 7 years ago
- Code snippets for "Introduction to Deep Learning with TensorFlow" at PyData Ann Arbor Aug 2017☆79Updated 7 years ago
- Code files added☆99Updated last year
- Course notes for Computational Statistics and Statistical Compuing☆62Updated 5 years ago
- tutorials that may or may not turn into a book☆48Updated 4 years ago
- Compilation of resources found around the web connected with Machine Learning, Deep Learning & Data Science in general.☆92Updated 7 years ago
- Lecture Slides, Exercises, and Deployment Materials for "Foundations of Numerical Computing"☆81Updated 2 years ago
- Jupyter notebooks for summarizing and reproducing the textbook "The Elements of Statistical Learning" 2/E by Hastie, Tibshirani, and Frie…☆286Updated 6 years ago
- ☆230Updated 3 years ago
- ☆26Updated 7 years ago
- STA663 Statistical Computing and Computation, Spring 2016☆86Updated 8 years ago
- Course page for DS-GA 3001.001 Modeling Time Series Data☆43Updated 6 years ago
- Advanced Scikit-learn training session☆118Updated 8 years ago
- Probabilistic graphical models in python☆23Updated 5 years ago
- ☆80Updated 8 years ago
- Materials for the "Advanced Scikit-learn" class in the afternoon☆165Updated 6 years ago
- Python code for Expectation-Maximization estimate of Gaussian mixture model☆76Updated 6 years ago
- legend☆198Updated last year
- PyCon 2017 tutorial on time series analysis☆72Updated 7 years ago
- Experiments in Bayesian Machine Learning☆69Updated 5 years ago
- Python Deep Learning Cookbook, published by Packt☆139Updated 2 years ago