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)
DataScienceProjects
The code repository for projects and tutorials in R and Python that covers a variety of topics in data visualization, statistics sports analytics and general application of probability theory. (by tuangauss)
| Probabilistic-Programming-and-Bayesian-Methods-for-Hackers | DataScienceProjects | |
|---|---|---|
| 30 | 1 | |
| 27,522 | 750 | |
| 0.0% | 0.0% | |
| 0.0 | 7.1 | |
| about 1 year ago | over 1 year ago | |
| Jupyter Notebook | 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.
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 📚
🔗 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.
DataScienceProjects
Posts with mentions or reviews of DataScienceProjects.
We have used some of these posts to build our list of alternatives
and similar projects.
What are some alternatives?
When comparing Probabilistic-Programming-and-Bayesian-Methods-for-Hackers and DataScienceProjects you can also consider the following projects:
skbel - SKBEL - Bayesian Evidential Learning framework built on top of scikit-learn.
probability - Probabilistic reasoning and statistical analysis in TensorFlow
learnapl - Introduction to Dyalog APL: https://xpqz.github.io/learnapl
cracking-the-data-science-interview - A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep
machine-learning-cheat-sheet - Classical equations and diagrams in machine learning
ydata-profiling - 1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers vs skbel
DataScienceProjects vs probability
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers vs learnapl
DataScienceProjects vs cracking-the-data-science-interview
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers vs machine-learning-cheat-sheet
DataScienceProjects vs ydata-profiling