ArthurZC23 / Machine-Learning-A-Probabilistic-Perspective-SolutionsLinks
My solutions to Kevin Murphy Machine Learning Book
☆539Updated 4 years ago
Alternatives and similar repositories for Machine-Learning-A-Probabilistic-Perspective-Solutions
Users that are interested in Machine-Learning-A-Probabilistic-Perspective-Solutions are comparing it to the libraries listed below
Sorting:
- Solutions to "Machine Learning: A Probabilistic Perspective"☆162Updated 4 years ago
- My Own Solution Manual of PRML☆985Updated 4 years ago
- Practical assignments of the Deep|Bayes summer school 2019☆833Updated 5 years ago
- Course notes for CS228: Probabilistic Graphical Models.☆1,956Updated last year
- Machine learning course materials.☆573Updated last year
- Jupyter notebooks for summarizing and reproducing the textbook "The Elements of Statistical Learning" 2/E by Hastie, Tibshirani, and Frie…☆288Updated 7 years ago
- ☆260Updated 5 years ago
- Topics course Mathematics of Deep Learning, NYU, Spring 18☆544Updated 2 years ago
- EE227C (Spring 2018) Course page☆224Updated 4 years ago
- Mathematics of Deep Learning, Courant Insititute, Spring 19☆277Updated 6 years ago
- 🖥️ CS446: Machine Learning in Spring 2018, University of Illinois at Urbana-Champaign☆282Updated 6 years ago
- Statistical Learning Theory (CS229T) Lecture Notes☆720Updated 5 years ago
- ☆274Updated 4 years ago
- Personal and biased selection of ML resources☆150Updated 5 years ago
- 🌀 Stanford CS 228 - Probabilistic Graphical Models☆121Updated 6 years ago
- Advanced Deep Learning and Reinforcement Learning course taught at UCL in partnership with Deepmind☆836Updated 6 years ago
- 🌲 Stanford CS 228 - Probabilistic Graphical Models☆133Updated 9 months ago
- Collection of probabilistic models and inference algorithms☆241Updated 5 years ago
- ☆806Updated 2 months ago
- Jupyter Notebooks for Computational Linear Algebra course, taught summer 2018 in USF MSDS program☆275Updated 6 years ago
- UCL MSc Computational Statistics and Machine Learning Revision Notes☆286Updated 6 years ago
- Probabilistic Modeling Toolkit for Matlab/Octave.☆1,558Updated 4 years ago
- Murphy's Machine Learning: A Probabilistic Perspective Errata (4th and later printings)☆68Updated 5 years ago
- List of DL topics and resources essential for cracking interviews☆446Updated 2 years ago
- Tutorials for Spring 2018☆84Updated 7 years ago
- A pedagogical implementation of Autograd☆984Updated 5 years ago
- Code and assignment repository for the Imperial College Mathematics department Deep Learning course☆265Updated 6 years ago
- A curated list of resources dedicated to bayesian deep learning☆415Updated 8 years ago
- More PRML Errata☆80Updated 2 years ago
- Compilation of resources found around the web connected with Machine Learning, Deep Learning & Data Science in general.☆92Updated 7 years ago