Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
android_guides
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers | android_guides | |
---|---|---|
30 | 4 | |
26,382 | 28,255 | |
- | 0.0% | |
0.0 | 2.1 | |
5 months ago | 12 months ago | |
Jupyter Notebook | ||
MIT License | 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.
android_guides
-
Simple Android RecyclerView example
I've made a list of items a few times using Android's RecyclerView, but it is a rather complicated process. Going through one of the numerous tutorials online works (this, this, and this are good), but I am looking a bare bones example that I can copy and paste to get up and running quickly. Only the following features are necessary:
-
Dying to understand RecyclerView
When I was learning about RecyclerView I read this article about it: https://github.com/codepath/android_guides/wiki/Using-the-RecyclerView
-
Free 500+ books and learning resources for every programmer.
CodePath Android Cliffnotes
-
Publish Android Library Artifacts to private Amazon S3 Maven repository
https://github.com/codepath/android_guides/wiki/Building-your-own-Android-library#setting-up-a-private-amazon-s3-maven-repository
What are some alternatives?
dtale - Visualizer for pandas data structures
IOTA-Discord - The IOTA Discord information repository (https://discord.iota.org)
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.
Free-Range-VHDL-book - Latex source files of the open-source book FREE RANGE VHDL
JLee_LinearOptimizationBook
android-developer-roadmap - Android Developer Roadmap 2020
clojure-style-guide - A community coding style guide for the Clojure programming language
papers-we-love - Papers from the computer science community to read and discuss.
paip-lisp - Lisp code for the textbook "Paradigms of Artificial Intelligence Programming"
Kalman-and-Bayesian-Filters-in-Python - Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
Scala school - Lessons in the Fundamentals of Scala