Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers | JLee_LinearOptimizationBook | |
---|---|---|
30 | 2 | |
26,362 | 117 | |
- | - | |
0.0 | 0.0 | |
5 months ago | over 1 year ago | |
Jupyter Notebook | MATLAB | |
MIT License | - |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
- Probabilistic Programming and Bayesian Methods for Hackers (2013)
-
[Q] Bayesian statistics!
Also this is quite nice practical introduction which might help with finding answers to your questions: https://github.com/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
-
How many of you have used algebra, calculus, geometry, etc in your business careers/the real world?
This is a good intro to probabilistic programming.
-
Suggestions for some best books on computer vision
Probabilistic programming is a nice technique to have up your sleeve.
-
Bayes examples and study help
+1 for Statistical Rethinking. I’m also partial to Bayesian Methods for Hackers.
-
✨ 10 Free Books for Machine Learning & Data Science 📚
🔗 https://camdavidsonpilon.github.io/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/
-
Predicting the distribution of a variable rather than a point estimate
You’re welcome! I would recommend Bayesian Methods for Hackers
- Bayesian Methods for Hackers
-
A collaborative book on DeFi
All content is open-source: everyone is free to read, but also to contribute to the book using github. I know of one other book that followed this open-source 'publishing' model and became quite successful eventually through community efforts. I contemplated for a bit to create a book DAO but I think it's going to be overkill :).
-
[R] Analysis of Russian vaccine trial outcomes suggests they are lazily faked. Distribution of efficacies across age groups is quite improbable
Jake Vanderplas's Statistics for Hackers presentation is a perfect place to start. Bayesian Methods for Hackers is also very good.
JLee_LinearOptimizationBook
-
Looking for a good introductory textbook in linear programming
I started with Lee, J. “A first course in linear optimization”. While the description on linear programming may be slightly different from the standard algorithm used in practice, it provided me a good insight on why it works in a theoretical sense. Even better, it’s available for free at https://github.com/jon77lee/JLee_LinearOptimizationBook/blob/master/JLee.4.01.pdf
-
Ask HN: Literature for Mathematical Optimization?
Here's an excerpt of a comment I previously made on Hacker News:
I'm a Ph.D. student in operations research (OR). My suggestion would be to first build a strong foundation in linear programming. This will introduce you to the notion of duality, which is heavily emphasized in many mathematical programming courses. Here's a good open-source book on linear programming written by Jon Lee, the current editor of Mathematical Programming A: https://github.com/jon77lee/JLee_LinearOptimizationBook
Then I'd suggest studying more general methods for continuous and convex optimization. The book I see mentioned a lot is Convex Optimization by Boyd and Vandenberghe, although we didn't use this in our coursework. Instead, we used a lot of the material presented here: http://mitmgmtfaculty.mit.edu/rfreund/educationalactivities/
If you read the above (or any other two books on linear programming and convex optimization), you'll probably have a better idea of what you want to study next and how you want to go about it. The next natural step would be to study combinatorial (i.e., integer or mixed-integer) optimization. (Jon Lee has another book on this subject; I've also heard good things about the Schrijver book.)
What are some alternatives?
dtale - Visualizer for pandas data structures
NLP-Model-for-Corpus-Similarity - A NLP algorithm I developed to determine the similarity or relation between two documents/Wikipedia articles. Inspired by the cosine similarity algorithm and built from WordNet.
clojure-style-guide - A community coding style guide for the Clojure programming language
paip-lisp - Lisp code for the textbook "Paradigms of Artificial Intelligence Programming"
Scala school - Lessons in the Fundamentals of Scala
guide.elm-lang.org - My book introducing you to Elm!
android_guides - Extensive Open-Source Guides for Android Developers
papers-we-love - Papers from the computer science community to read and discuss.
devdocs - API Documentation Browser
machine-learning-cheat-sheet - Classical equations and diagrams in machine learning
learnapl - Introduction to Dyalog APL: https://xpqz.github.io/learnapl