alexsosn / MarslandMLAlgoLinks
Code and data for the second edition of the textbook `Machine Learning: An Algorithm Perspective" by Stephen Marsland.
☆148Updated 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☆135Updated 4 years ago
- ☆73Updated 6 years ago
- Python Deep Learning Cookbook, published by Packt☆141Updated 2 years ago
- Jupyter Notebooks for Computational Linear Algebra course, taught summer 2018 in USF MSDS program☆275Updated 7 years ago
- Compilation of resources found around the web connected with Machine Learning, Deep Learning & Data Science in general.☆93Updated 7 years ago
- Code for a tutorial on Bayesian Statistics by Allen Downey.☆355Updated 4 years ago
- Jupyter notebooks for summarizing and reproducing the textbook "The Elements of Statistical Learning" 2/E by Hastie, Tibshirani, and Frie…☆292Updated 7 years ago
- IPython widgets, interactive plots, interactive machine learning☆151Updated 6 years ago
- Code files added☆99Updated 2 years ago
- Scipy 2018 scikit-learn tutorial by Guillaume Lemaitre and Andreas Mueller☆248Updated 6 years ago
- Bayesian Analysis with Python by Packt☆218Updated 2 years ago
- Tutorials on visualizing data using python packages like bokeh, plotly, seaborn and igraph☆269Updated 5 years ago
- Tutorial on "Modern Optimization Methods in Python"☆249Updated 5 months ago
- Course notes for Computational Statistics and Statistical Compuing☆63Updated 6 years ago
- Source code for the book "Building Probabilistic Graphical Models in Python"☆30Updated 8 years ago
- A Little Book of Python for Multivariate Analysis☆87Updated 9 years ago
- COMS W4995 Applied Machine Learning - Spring 18☆157Updated 6 years ago
- Source code for 'Pro Deep Learning with TensorFlow' by Santanu Pattanayak☆80Updated 7 years ago
- Python Version of BRML toolbox for Bayesian Reasoning and Machine Learning☆163Updated 10 years ago
- Lecture Slides, Exercises, and Deployment Materials for "Foundations of Numerical Computing"☆81Updated 2 years ago
- A repo with tutorials for algorithms from scratch☆100Updated 7 years ago
- A companion code for my Medium post☆122Updated 4 years ago
- my blog☆268Updated 3 years ago
- Python notebooks for exercises covered in Stanford statlearning class (where exercises were in R).☆378Updated 9 years ago
- Basics of programming: algorithms, data structures, object oriented programming☆93Updated 7 years ago
- Some Jupyter notebooks based on Bishop's "Pattern Recognition and Machine Learning" book☆76Updated 5 years ago
- A python tutorial for a Bayesian treatment of Linear Regression: https://zjost.github.io/bayesian-linear-regression/☆82Updated 8 years ago
- Resources for STA 633 class☆169Updated 8 years ago
- Doing Bayesian statistics in Python!☆67Updated 7 years ago
- ⛔️ DEPRECATED — Exercises and solutions to accompany my Safari course introducing TensorFlow.☆176Updated last year