Over the past several months I keep seeing people trying to equate data science with machine learning, and it made me wonder if the people doing this are trying to salvage (or perhaps enhance) the investment they made in data science by trying to blur the lines between the two.
Isn't the line between the two indeed blurry? Maybe deep learning is machine learning, but modern statistical methods such as elastic net, SVM, and random forests are things data scientists should know about.
