stat_rethinking_2023 VS interpretable-ml-book

Compare stat_rethinking_2023 vs interpretable-ml-book and see what are their differences.

stat_rethinking_2023

Statistical Rethinking Course for Jan-Mar 2023 (by rmcelreath)
Nutrient - The #1 PDF SDK Library
Bad PDFs = bad UX. Slow load times, broken annotations, clunky UX frustrates users. Nutrient’s PDF SDKs gives seamless document experiences, fast rendering, annotations, real-time collaboration, 100+ features. Used by 10K+ devs, serving ~half a billion users worldwide. Explore the SDK for free.
nutrient.io
featured
CodeRabbit: AI Code Reviews for Developers
Revolutionize your code reviews with AI. CodeRabbit offers PR summaries, code walkthroughs, 1-click suggestions, and AST-based analysis. Boost productivity and code quality across all major languages with each PR.
coderabbit.ai
featured
stat_rethinking_2023 interpretable-ml-book
7 37
2,216 4,834
- 0.4%
4.0 4.2
about 1 year ago 24 days ago
R Jupyter Notebook
Creative Commons Zero v1.0 Universal GNU General Public License v3.0 or later
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.

stat_rethinking_2023

Posts with mentions or reviews of stat_rethinking_2023. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-01-05.

interpretable-ml-book

Posts with mentions or reviews of interpretable-ml-book. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-18.

What are some alternatives?

When comparing stat_rethinking_2023 and interpretable-ml-book you can also consider the following projects:

stat_rethinking_2022 - Statistical Rethinking course winter 2022

machine-learning-yearning - Machine Learning Yearning book by 🅰️𝓷𝓭𝓻𝓮𝔀 🆖

shap - A game theoretic approach to explain the output of any machine learning model.

neural_regression_discontinuity - In this repository, I modify a quasi-experimental statistical procedure for time-series inference using convolutional long short-term memory networks.

random-forest-importances - Code to compute permutation and drop-column importances in Python scikit-learn models

serve - ☁️ Build multimodal AI applications with cloud-native stack

Nutrient - The #1 PDF SDK Library
Bad PDFs = bad UX. Slow load times, broken annotations, clunky UX frustrates users. Nutrient’s PDF SDKs gives seamless document experiences, fast rendering, annotations, real-time collaboration, 100+ features. Used by 10K+ devs, serving ~half a billion users worldwide. Explore the SDK for free.
nutrient.io
featured
CodeRabbit: AI Code Reviews for Developers
Revolutionize your code reviews with AI. CodeRabbit offers PR summaries, code walkthroughs, 1-click suggestions, and AST-based analysis. Boost productivity and code quality across all major languages with each PR.
coderabbit.ai
featured

Did you know that R is
the 53rd most popular programming language
based on number of references?