Speaker: Daniel Jacobs (@djacobs7), Senior Director, Data Science Engineering at Age Of Learning. Website: www.dontyouremember.com
Title: Getting better at R By Learning More Packages More Deeply
Learning R means learning dozens of different packages and methods. CRAN has over 10,000 packages, and it's not always clear what's important to learn next. Once you decide what to learn, it's can be difficult to commit the important methods to memory so that you can use them easily over the next weeks or months. This talk walks you through strategies for deciding what to learn, and then committing them to memory with the spaced repetition algorithm. It gives an example of discovering what packages to learn via code analysis. Finally, it describes the development of the remembR package, which lets you study R directly in R.
Speaker: Emil Hvitfeldt (@Emil_Hvitfeldt), Research Programmer at USC and Co-organizer of @laeRusers
Title: Hyper-parameter Tuning with Tune Package
Many statistical and machine learning models have parameters that can directly be inferred from the data. The newly released tune package is part of the tidymodels framework and allows you to do hyper-parameter tuning.
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