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maskegger
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Bootstrap yourself to write an OS from scratch. A book for self-learner.
A helpful 5-page machine learning cheatsheet to assist with exam reviews, interview prep, and anything in-between.
A comprehensive 10-page probability cheatsheet that covers a semester's worth of introduction to probability.
Bayesian Data Analysis course at Aalto
Repo for Yale Applied Empirical Methods PHD Course
Host repository for The Turing Way: a how to guide for reproducible data science
Manuscript of the book "Tidy Text Mining with R" by Julia Silge and David Robinson
Structure and Interpretation of Computer Programs, Second Edition
An updated R Markdown thesis template using the bookdown package
Using Git and GitHub with R, Rstudio, and R Markdown
Examples using emacs org mode babel inline source code with different backend languages
Introductory tutorial on graphical display of geographical information in R.
An opinionated view of the Tidyverse "dialect" of the R language.
Data and Program files for Causal Inference: The Mixtape
The open-sourced version of the award-winning Qiqqa research management tool for Windows
A concise Julia language introductory manual for programmers.
Online version of Bischl, B., Sonabend, R., Kotthoff, L., & Lang, M. (Eds.). (2024). "Applied Machine Learning Using mlr3 in R". CRC Press.
Research Software Engineering with Python course material
An open source book to learn data science, data analysis and machine learning, suitable for all ages!
Introduction to Empirical Bayes: Examples from Baseball Statistics
Introductory guide to the art and science of data visualisation. Insights, advice, and examples (with code) to make data outputs more readable, accessible, and impactful.