seeingtheory / Seeing-TheoryLinks
A visual introduction to probability and statistics.
☆2,033Updated 2 years ago
Alternatives and similar repositories for Seeing-Theory
Users that are interested in Seeing-Theory are comparing it to the libraries listed below
Sorting:
- The textbook Computational and Inferential Thinking: The Foundations of Data Science☆885Updated this week
- Interactive Linear Algebra, free online textbook at Georgia Tech☆932Updated 3 years ago
- Text and code for the second edition of Think Bayes, by Allen Downey.☆1,963Updated last week
- The probability and statistics cookbook☆2,284Updated 2 years ago
- A comprehensive 10-page probability cheatsheet that covers a semester's worth of introduction to probability.☆3,119Updated 3 years ago
- IPython notebooks on Gilbert Strang's MIT course on linear algebra (18.06)☆564Updated last year
- A Course in Machine Learning☆902Updated 2 years ago
- Interactive Linear Algebra☆737Updated last year
- Translation of VIP cheatsheets for Machine Learning Deep Learning, and Artificial Intelligence☆911Updated 2 years ago
- Repository for the free online book Machine Learning from Scratch (link below!)☆1,282Updated 2 years ago
- Foundations of Machine Learning☆340Updated last year
- Study guides for MIT's 15.003 Data Science Tools☆1,877Updated 5 years ago
- Learning Data Science, a textbook.☆260Updated 2 months ago
- VIP cheatsheets for Stanford's CME 106 Probability and Statistics for Engineers☆784Updated 5 years ago
- The motive behind Creating this repo is to feel the fear of mathematics and do what ever you want to do in Machine Learning , Deep Learni…☆708Updated 3 years ago
- Leading to the dataviz you need☆1,060Updated 11 months ago
- Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"☆789Updated 2 years ago
- Machine learning glossary☆3,095Updated last year
- An open-access book on numpy vectorization techniques, Nicolas P. Rougier, 2017☆2,100Updated 5 months ago
- A CS degree with a focus on full-stack ML engineering, 2020☆891Updated 4 years ago
- Notes and exercise attempts for "An Introduction to Statistical Learning"☆2,143Updated 2 years ago
- Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)☆1,782Updated 5 years ago
- Code for A Programmer's Introduction to Mathematics☆3,618Updated 2 years ago
- machine learning tutorials (mainly in Python3)☆3,417Updated 3 months ago
- 📚 Introduction to Modern Statistics - A college-level open-source textbook with a modern approach highlighting multivariable relationshi…☆909Updated this week
- Seeing Theory is a project designed and created by Daniel Kunin with support from Brown University's Royce Fellowship Program and Nationa…☆254Updated 8 years ago
- A data visualization curriculum of interactive notebooks.☆1,344Updated 6 months ago
- The Python code to reproduce the illustrations from The Hundred-Page Machine Learning Book.☆1,982Updated last year
- Code repository for Think Bayes.☆1,675Updated 4 years ago
- Tutorials on how to use pandas effectively to do data analysis☆1,108Updated 2 years ago