papers-I-read
A-Paper-A-Week (by shagunsodhani)
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;) (by CamDavidsonPilon)
| papers-I-read | Probabilistic-Programming-and-Bayesian-Methods-for-Hackers | |
|---|---|---|
| 1 | 30 | |
| 944 | 26,395 | |
| - | - | |
| 0.0 | 0.0 | |
| over 1 year ago | 6 months ago | |
| HTML | Jupyter Notebook | |
| - | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
papers-I-read
Posts with mentions or reviews of papers-I-read.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-02-22.
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👨‍🎓️📊 Data Scientist— 12 Steps From Beginner to Pro
It is simply impossible to keep track of all publications. The Reddit branches listed above will help to isolate the most important texts (since the author became the head of the AI ​​department at Tesla, the site began to break more often, but it’s still the best tool). There is also such a list of articles with comments and recordings of webinars from the YouTube channel Kaggle with parsing of scientific articles related to data science algorithms.
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
Posts with mentions or reviews of Probabilistic-Programming-and-Bayesian-Methods-for-Hackers.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-04-02.
- Probabilistic Programming and Bayesian Methods for Hackers (2013)
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[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
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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.
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Suggestions for some best books on computer vision
Probabilistic programming is a nice technique to have up your sleeve.
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Bayes examples and study help
+1 for Statistical Rethinking. I’m also partial to Bayesian Methods for Hackers.
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✨ 10 Free Books for Machine Learning & Data Science 📚
đź”— https://camdavidsonpilon.github.io/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/
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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
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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 :).
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[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.
What are some alternatives?
When comparing papers-I-read and Probabilistic-Programming-and-Bayesian-Methods-for-Hackers you can also consider the following projects:
REPL - The Learning Hub for UoL's Online CS Students
dtale - Visualizer for pandas data structures
lela - Lela is a smart dietician who can help you to maintain diet and it also has Yoga posture detection feature where users can practice yoga at their home. https://lela-dietician.herokuapp.com
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.
UBB-INFO - All projects from university.
JLee_LinearOptimizationBook
awesome-public-datasets - A topic-centric list of HQ open datasets. [Moved to: https://github.com/awesomedata/awesome-public-datasets]
clojure-style-guide - A community coding style guide for the Clojure programming language
Awesome-Diffusion-Models - A collection of resources and papers on Diffusion Models
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!
papers-I-read vs REPL
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers vs dtale
papers-I-read vs lela
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers vs NLP-Model-for-Corpus-Similarity
papers-I-read vs UBB-INFO
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers vs JLee_LinearOptimizationBook
papers-I-read vs awesome-public-datasets
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers vs clojure-style-guide
papers-I-read vs Awesome-Diffusion-Models
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers vs paip-lisp
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers vs Scala school
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers vs guide.elm-lang.org