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.

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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.

• Guide: mlr3 How-To Guides

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Statistical Modeling:

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Bioinformatics:

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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.

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Version Control:

• git – Happy Git and Github with R