Sampling and Resampling Techniques

  • Karthik Ramasubramanian
  • Abhishek Singh
Chapter

Abstract

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.

Keywords

Central Limit Theorem Bootstrap Sampling Cluster Sampling Simple Random Sampling Empirical Distribution Function 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Copyright information

© Karthik Ramasubramanian and Abhishek Singh 2017

Authors and Affiliations

  • Karthik Ramasubramanian
    • 1
  • Abhishek Singh
    • 1
  1. 1.New DelhiIndia

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