Introduction to Machine Learning Systems
Bug-tracking for Jeff's algorithms book, notes, etc.
《Machine Learning Systems: Design and Implementation》- Chinese Version
Literature for the self-taught AI practitioner! 📚
Mission: To provide a high-quality open content data structures textbook that is both mathematically rigorous and provides complete implementations.
XML sources of SICP and SICP JS, and support for generating Interactive SICP JS, PDF, e-book and comparison editions
Open sourece medical books in LaTeX. LaTeX写的中文开源医学书籍
Probability and Statistics for Data Science: A self-contained introduction to probability and statistics for data science, including a free pdf, 103 Python notebooks using 23 real-world datasets, 118 videos with slides, and solutions to 200 exercises
📖An interactive companion to the well-received textbook 'Introduction to Econometrics' by Stock & Watson (2015)
📚 An open-source textbook written at the college level. OpenIntro also offers a second college-level intro stat textbook and also a high school variant.
A curated list of awesome machine learning frameworks, libraries, courses, books and many more.
My notes and codes (jupyter notebooks) for the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Friedman
Tutorials, datasets, and other material associated with textbook "A First Course in Network Science" by Menczer, Fortunato & Davis
A free online interactive resource/textbook for high school students learning about computer science.
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