Sampling and Resampling Techniques

Abstract

In Chapter 2, we introduced the concept of data import and exploration techniques. Now you are equipped with the skills to load data from different sources and how to store them in an appropriate format. In this chapter we will discuss important data sampling methodologies and their importance in machine learning algorithms. Sampling is an important block in our machine learning process flow and it serves the dual purpose of cost savings in data collection and reduction in computational cost without compromising the power of the machine learning model.