tallamjr / barberbookLinks
Solutions for David Barber's "Bayesian Reasoning and Machine Learning" Book
☆25Updated 4 years ago
Alternatives and similar repositories for barberbook
Users that are interested in barberbook are comparing it to the libraries listed below
Sorting:
- 🌀 Stanford CS 228 - Probabilistic Graphical Models☆90Updated 6 years ago
- This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Fais…☆296Updated 5 years ago
- ☆84Updated 4 years ago
- My solutions to problems of The Elements of Statistical Learning by Profs. Hastie, Tibshirani, and Friedman.☆91Updated 6 years ago
- ☆89Updated 2 years ago
- Enhancing Deep Learning with Bayesian Inference, published by Packt☆44Updated last month
- These are companion notebooks written in Julia and Python for: "Introduction to Applied Linear Algebra" by Boyd and Vandenberghe.☆346Updated 5 years ago
- Jupyter notebooks for summarizing and reproducing the textbook "The Elements of Statistical Learning" 2/E by Hastie, Tibshirani, and Frie…☆293Updated 7 years ago
- Solutions to Wasserman's 'All of Statistics'.☆104Updated 6 years ago
- My solutions to the assignments in the book: "A Student’s Guide to Bayesian Statistics" by Ben Lambert.☆73Updated last year
- Repository for the course Probabilistic Machine Learning at Tübingen University☆26Updated 5 years ago
- Statistical Inference Course☆43Updated 11 months ago
- Introduction to statistics featuring Python. This series of lecture notes aim to walk you through all basic concepts of statistics, such …☆127Updated last year
- R Markdown notes for Peter D. Hoff, "A First Course in Bayesian Statistical Methods"☆130Updated 6 years ago
- Repo for Statistical Learning course offered by Stanford University☆50Updated 6 years ago
- ☆34Updated 7 years ago
- Documenting my progress as I work through The Elements of Statistical Learning book by T. Hastie, R. Tibshirani, and J. Friedman☆61Updated 5 years ago
- 🌲 Stanford CS 228 - Probabilistic Graphical Models☆149Updated last year
- Notebooks for "Probabilistic Machine Learning" book☆202Updated 3 years ago
- ☆154Updated last month
- Python code for Computer Age Statistical Inference☆51Updated 6 years ago
- Applied Probability Theory for Everyone☆121Updated last year
- My notes from class☆75Updated 7 years ago
- Repository for ML in Practice Course at CMU (10-718)☆70Updated this week
- Programs☆116Updated this week
- Lecture Notes on Statistical Inference☆77Updated last year
- Bayesian Analysis with Python - Second Edition, published by Packt☆137Updated 4 years ago
- Probabilistic Deep Learning finds its application in autonomous vehicles and medical diagnoses. This is an increasingly important area of…☆70Updated 2 months ago
- XGBoost for Regression Predictive Modeling and Time Series Analysis, published by Packt☆38Updated last month
- Solutions and workflow for the Bayesian Statistics The Fun Way book in Python☆75Updated last year