MLaPP-Solution-Manual / Solutions-to-Machine-Learning-A-Probabilistic-Perspective-Links
Solutions to "Machine Learning: A Probabilistic Perspective"
☆164Updated 4 years ago
Alternatives and similar repositories for Solutions-to-Machine-Learning-A-Probabilistic-Perspective-
Users that are interested in Solutions-to-Machine-Learning-A-Probabilistic-Perspective- are comparing it to the libraries listed below
Sorting:
- More PRML Errata☆81Updated 3 years ago
- 🌀 Stanford CS 228 - Probabilistic Graphical Models☆122Updated 7 years ago
- a repo sharing Bayesian Neural Network recent papers☆216Updated 6 years ago
- Murphy's Machine Learning: A Probabilistic Perspective Errata (4th and later printings)☆68Updated 6 years ago
- MLSS2019 Tutorial on Bayesian Deep Learning☆93Updated 6 years ago
- ☆260Updated 6 years ago
- ☆155Updated 5 years ago
- Python implementations (on jupyter notebook) of algorithms described in the book "PRML"☆259Updated 4 years ago
- ☆241Updated 3 years ago
- Mathematics of Deep Learning, Courant Insititute, Spring 19☆277Updated 6 years ago
- The newest reading list for representation learning☆117Updated 4 years ago
- Statistical Learning Theory (CS229T) Lecture Notes☆722Updated 6 years ago
- 🖥️ CS446: Machine Learning in Spring 2018, University of Illinois at Urbana-Champaign☆288Updated 6 years ago
- Collaborative lecture notes for Spring '19 NYU DL class☆118Updated 5 years ago
- A Course on Mathematical Theories of Deep Learning☆79Updated 5 years ago
- The collection of papers about combining deep learning and Bayesian nonparametrics☆122Updated 6 years ago
- My solutions to problems of The Elements of Statistical Learning by Profs. Hastie, Tibshirani, and Friedman.☆91Updated 6 years ago
- Lifelong/Continual Learning Paper List☆156Updated 7 years ago
- All you need for MATH5411 Advanced Probability, 2020 Fall, HKUST, Lecturer BAO Zhigang.☆56Updated 5 years ago
- References at the Intersection of Causality and Reinforcement Learning☆90Updated 5 years ago
- My Own Solution Manual of PRML☆1,002Updated 4 years ago
- Matrix Calculus via Differentials, Matrix Derivative, 矩阵求导教程☆291Updated 2 years ago
- The collection of recent papers about variational inference☆84Updated 6 years ago
- paper lists and information on mean-field theory of deep learning☆78Updated 6 years ago
- Papers for Bayesian-NN☆326Updated 6 years ago
- Deep learning course CE7454, 2018☆79Updated 6 years ago
- lecture notes of "Matrix Methods in Data Analysis, Signal Processing, and Machine Learning"☆153Updated 6 years ago
- Bayesian Deep Learning: A Survey☆518Updated 3 months ago
- ☆84Updated 4 years ago
- Stanford CS229 (Autumn 2017)☆373Updated 7 years ago