It has been more than 5 years since I had read any elementary book on R, that focuses on statistics. I have been caught up in the aspects of gaining some hands-on skills in Python, Data Science and Machine Learning that I have been completely away from revisiting resampling stuff. I still remember those days when I had so many “aha” moments, while understanding statistics from a resampling perspective. Picked up a book titled, Mathematical Statistics with Resampling and R for revisiting some basic stat concepts

The only way to find out what will happen when a complex system is disturbed is to disturb the system, not merely to observe it passively — Fred Mosteller and John Tukey

This blog summarizes the book titled, “Blah Blah Blah: What To Do When Words Don’t Work”, written by Dan Roam.

Just imagine what you are losing just because you are not reading! — Ernest Agyemang Yeboah

I am revisiting the book titled, Introduction to Statistical Learning with Applications in R, after 7 years. It was back in 2013, when I read through this book for the first time, and worked through the book. Needless to say R ecosystem has expanded greatly since then. I have done many projects in the field of data science and have grown a bit wiser. This blogpost summarizes my re-learnings from this fascinating book, that is a bridge to Elements of Statistical Learning, a book that is considered the bible of Statistical Learning