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You're reading from  Julia for Data Science

Product typeBook
Published inSep 2016
Reading LevelBeginner
PublisherPackt
ISBN-139781785289699
Edition1st Edition
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Anshul Joshi
Anshul Joshi
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Anshul Joshi

Anshul Joshi is a data scientist with experience in recommendation systems, predictive modeling, neural networks, and high performance computing. His research interests encompass deep learning, artificial intelligence, and computational physics. Most of the time, he can be caught exploring GitHub or trying anything new he can get his hands on. You can also follow his personal blog.
Read more about Anshul Joshi

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Understanding the sampling distribution


The sampling distribution is the likelihood of gathering every possible statistic from a sample of a population that is taken randomly. Useful information can be derived using the sampling distribution without the complete knowledge of the population. Suppose we are calculating the sample mean but we don't know the population. Still, we can assume that the sample mean is within a certain number of standard deviations of the population mean.

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Julia for Data Science
Published in: Sep 2016Publisher: PacktISBN-13: 9781785289699

Author (1)

author image
Anshul Joshi

Anshul Joshi is a data scientist with experience in recommendation systems, predictive modeling, neural networks, and high performance computing. His research interests encompass deep learning, artificial intelligence, and computational physics. Most of the time, he can be caught exploring GitHub or trying anything new he can get his hands on. You can also follow his personal blog.
Read more about Anshul Joshi