A Data Scientist's Guide to 8 Types of Sampling Techniques

Here's a scenario I'm sure you are familiar with. You download a relatively big dataset and are excited to get started with analyzing it and building your machine learning model. And snap – your machine gives an "out of memory" error while trying to load the dataset. It's happened to the best of us. It's one of the biggest hurdles we face in data science – dealing with massive amounts of data on computationally limited machines (not all of us have Google's resource power!).