In Chapter 2, we introduced the concept of data import and exploration techniques. Now you are equipped with loading data from different sources and storing 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 ...
© Karthik Ramasubramanian and Abhishek Singh 2017
Karthik Ramasubramanian and Abhishek Singh, Machine Learning Using R, 10.1007/978-1-4842-2334-5_3
3. Sampling and Resampling Techniques
Karthik Ramasubramanian1 and Abhishek Singh1
(1)New Delhi, Delhi, India