We see thousands of articles about data science being published everyday. Why is writing so popular and sought-after among data scientist? This is because.
Writing is less resource intensive (for example, compared to creating video lectures), In data science, you’ll often find revisiting things you already saw. And documents are much easier to navigate than videos ( I know you secretly visit the linear regression wiki-page to get a refresher!) But how many of those articles you read actually stood out to teach you the method instead of gushing out an incomprehensible torrent of technical jargon? How many of them would have made you appreciate the author, or recommend to a friend?
Author: Thushan Ganegedara