machine-learning-yearning
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
machine-learning-yearning | Probabilistic-Programming-and-Bayesian-Methods-for-Hackers | |
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3 | 30 | |
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over 5 years ago | 5 months ago | |
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MIT License | MIT License |
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machine-learning-yearning
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Summary text on applied ML principles
There's Machine Learning - Yearning by Andrew Ng, it's free on Github: https://github.com/ajaymache/machine-learning-yearning
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โจ 10 Free Books for Machine Learning & Data Science ๐
๐ https://github.com/ajaymache/machine-learning-yearning
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ML Books You Need to Read
Machine Learning Yearning
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
- 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. Iโm also partial to Bayesian Methods for Hackers.
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โจ 10 Free Books for Machine Learning & Data Science ๐
๐ 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
Youโre 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?
interpretable-ml-book - Book about interpretable machine learning
dtale - Visualizer for pandas data structures
r4ds - R for data science: a book
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.
JLee_LinearOptimizationBook
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