Recommended resources

Below is a set of resources (book, journal articles, blogposts, URLs) in different topical areas that members of the data science center have found useful. Similar links are elsewhere in the knowledge base, but here’s a broader collection of resources. In addition to the link, it would be great to add an annotation and an evaluative statement.

1 Introductions to programming languages
2 Machine Learning
3 Statistical modeling
4 Bioinformatics
5 Software
- 5.1 Editors and integrated development environments
- 5.2 Containers
- 5.3 Document preparation
- 5.4 Version control

Introductions to programming languages

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Machine Learning

Journal Article: mlr3pipelines - Flexible Machine Learning Pipelines in R - article about mlr3pipelines, how it works, different ml resources, and where to find mlr3 packages and guides.

eBook: mlr3 book (book in progress)

Guide: mlr3 how-to guides

Statistical modeling

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Bioinformatics

Software

Editors and integrated development environments

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Containers

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Document preparation

Overleaf – a browser-based, cloud-hosted environment for making documents (manuscripts, CVs, presentations) in LaTeX. It has a free version. You can interleave R code with the latex and the cloud-based server can interpret both.

Version control

git – Happy Git and Github with R