mayer79/statistical_computing_material
Material for the lecture Statistical Computing
This is a collection of lecture notes and exercises for learning statistical computing with R. It provides structured guidance on topics from basic R usage and statistical inference to advanced machine learning models like linear models, trees, and neural networks. It's designed for students or practitioners looking to gain hands-on skills in applying statistical methods and machine learning algorithms using R.
Use this if you are a student or professional who wants to learn statistical computing and machine learning using R, and you prefer a structured, lecture-based approach.
Not ideal if you are looking for a simple, plug-and-play software tool rather than educational material requiring active learning and setup.
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Jan 01, 2026
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