alexsosn / MarslandMLAlgoLinks
Code and data for the second edition of the textbook `Machine Learning: An Algorithm Perspective" by Stephen Marsland.
☆149Updated 4 years ago
Alternatives and similar repositories for MarslandMLAlgo
Users that are interested in MarslandMLAlgo are comparing it to the libraries listed below
Sorting:
- Materials for "Bayesian Methods for Machine Learning" Coursera MOOC☆138Updated 5 years ago
- ☆74Updated 6 years ago
- Python Deep Learning Cookbook, published by Packt☆142Updated 2 years ago
- Jupyter Notebooks for Computational Linear Algebra course, taught summer 2018 in USF MSDS program☆280Updated 7 years ago
- Python Version of BRML toolbox for Bayesian Reasoning and Machine Learning☆165Updated 10 years ago
- Source code for the book "Building Probabilistic Graphical Models in Python"☆30Updated 8 years ago
- Lecture Slides, Exercises, and Deployment Materials for "Foundations of Numerical Computing"☆81Updated 3 years ago
- COMS W4995 Applied Machine Learning - Spring 18☆157Updated 6 years ago
- Jupyter notebooks for summarizing and reproducing the textbook "The Elements of Statistical Learning" 2/E by Hastie, Tibshirani, and Frie…☆294Updated 7 years ago
- Python version of programming assignments for "Neural Networks for Machine Learning" Coursera course taught by Geoffrey Hinton.☆80Updated 8 years ago
- Jupyter notebooks with the Python equivalent to the R code sections in Blitzstein and Hwang's Introduction To Probability, Second Edition☆75Updated 6 years ago
- Scipy 2018 scikit-learn tutorial by Guillaume Lemaitre and Andreas Mueller☆248Updated 7 years ago
- Course notes for Computational Statistics and Statistical Compuing☆63Updated 6 years ago
- Materials for the course of machine learning at Imperial College organized by Yandex SDA☆84Updated 8 years ago
- Tutorials on visualizing data using python packages like bokeh, plotly, seaborn and igraph☆271Updated 5 years ago
- Some Jupyter notebooks based on Bishop's "Pattern Recognition and Machine Learning" book☆76Updated 6 years ago
- Tutorial on "Modern Optimization Methods in Python"☆251Updated 10 months ago
- Code files added☆100Updated 2 years ago
- Compilation of resources found around the web connected with Machine Learning, Deep Learning & Data Science in general.☆94Updated 8 years ago
- tutorials that may or may not turn into a book☆50Updated 5 years ago
- Bayesian Analysis with Python by Packt☆221Updated 2 years ago
- ☆135Updated 4 years ago
- Slides for my machine learning course based on Sebastian Raschka's Python Machine Learning book☆313Updated 4 years ago
- Code snippets for "Introduction to Deep Learning with TensorFlow" at PyData Ann Arbor Aug 2017☆80Updated 8 years ago
- IPython widgets, interactive plots, interactive machine learning☆151Updated 6 years ago
- PyCon 2017 tutorial on time series analysis☆72Updated 8 years ago
- Neural networks from scratch☆108Updated 5 years ago
- Jupyter Notebooks derived from Allen Downey's book Think Bayes.☆398Updated 9 years ago
- Resources for STA 633 class☆172Updated 8 years ago
- Materials for the "Advanced Scikit-learn" class in the afternoon☆165Updated 7 years ago