I cannot remember anymore when I started using Pocket, but I certainly remember that I realized quickly that it was exactly what I needed. My elaborate collection of browser bookmarks that I wanted to read “some day/maybe”, quickly turned into a massive Pocket queue with articles spanning more than a decade. I don’t know if I’ll ever finish reading it, but at least I feel somewhat in control and I enjoy reading a few articles in bed on a lazy Sunday morning.
For people who want to practice machine learning, An Introduction to Statistical Learning with Applications in R by Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani is a popular textbook choice. It certainly helps that a PDF version of the book is available for free on the authors’ website, but the book itself is also an excellent introduction to techniques for statistical learning. When refreshing my statistical learning skills earlier this year and learning Python for data analysis, the ISLR book was the main reading in the online course that I took.
Update Apr 20th: The course has recently been made available again on edx.org. SQL was developed in the 1970s, but is still a workhorse in many modern data analysis pipelines. There are countless SQL introductions and tutorials available on the internet, but it took me a while to find the one that works best for me. During the process of broadening my programming skills beyond R, I went through a number of SQL online courses.