Sampling and Resampling Techniques
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.
KeywordsCentral 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.
© Karthik Ramasubramanian and Abhishek Singh 2017