tallamjr / barberbook
Solutions for David Barber's "Bayesian Reasoning and Machine Learning" Book
β19Updated 3 years ago
Alternatives and similar repositories for barberbook:
Users that are interested in barberbook are comparing it to the libraries listed below
- π Stanford CS 228 - Probabilistic Graphical Modelsβ84Updated 6 years ago
- β78Updated 2 years ago
- Jupyter notebooks with the Python equivalent to the R code sections in Blitzstein and Hwang's Introduction To Probability, Second Editionβ73Updated 6 years ago
- Studying notes of ISLR, ESL, and other Machine Learning books. Check a more user friendly version on my personal website https://nancyyanβ¦β14Updated 4 years ago
- Documenting my progress as I work through The Elements of Statistical Learning book by T. Hastie, R. Tibshirani, and J. Friedmanβ57Updated 4 years ago
- β33Updated 6 years ago
- Course notes for Computational Statistics and Statistical Compuingβ63Updated 6 years ago
- Repository for ML in Practice Course at CMU (10-718)β62Updated last year
- Berkeley CS182/282A Designing, Visualizing and Understanding Deep Neural Networksβ85Updated 2 years ago
- My solutions to problems of The Elements of Statistical Learning by Profs. Hastie, Tibshirani, and Friedman.β90Updated 6 years ago
- Linear Algebra and Optimization for Data Scienceβ24Updated 4 years ago
- π² Stanford CS 228 - Probabilistic Graphical Modelsβ129Updated 8 months ago
- Dynamic Neural Network Programming with PyTorch, published by Packtβ20Updated 2 years ago
- R Statistics Cookbook, published by Packtβ12Updated 2 years ago
- Distributed Machine Learning with Python, published by Packtβ40Updated last year
- Probability - The Science of Uncertainty and Dataβ33Updated 6 years ago
- Probabilistic Deep Learning finds its application in autonomous vehicles and medical diagnoses. This is an increasingly important area ofβ¦β65Updated 5 months ago
- Computational Statistics and Statistical Computingβ37Updated 4 years ago
- Solutions to Wasserman's 'All of Statistics'.β104Updated 5 years ago
- Stanford CS246 Mining Massive Data Sets course HWβ15Updated 8 years ago
- Repository for the course Probabilistic Machine Learning at TΓΌbingen Universityβ23Updated 4 years ago
- β27Updated last year
- β142Updated last year
- DS-GA 3001: Tools and Techniques for Machine Learning (NYU Fall 2021)β46Updated last year
- β78Updated 4 years ago
- A quick introduction to all most important concepts of Probability Theory, only freshman level of mathematics needed as prerequisite.β48Updated 3 years ago
- π Stanford CS 228 - Probabilistic Graphical Modelsβ122Updated 6 years ago
- Homework assignments for ISYE 6740 Computational Data Analysis (Spring 2022)β12Updated 2 years ago
- Course material for Bayesian and Modern Statistics, STA601, Duke University, Spring 2015.β20Updated 9 years ago
- Notes on "An Introduction to Statistical Learning" with Applications in Pythonβ9Updated 7 years ago