Abstract
In this chapter, we are going to take a step forward in our data science experimentation by significantly increasing the volume of data that we collect. So far we have worked with a dozen data points, and that was adequate for our needs. But sometimes correlations (and other interesting features of data) are subtle and hard to find. The larger our data set, the more likely it is that the answers we are looking for lie within it.
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© 2020 Philip Meitiner, Pradeeka Seneviratne
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Meitiner, P., Seneviratne, P. (2020). Working with Large Data Sets. In: Beginning Data Science, IoT, and AI on Single Board Computers. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-5766-1_4
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DOI: https://doi.org/10.1007/978-1-4842-5766-1_4
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Publisher Name: Apress, Berkeley, CA
Print ISBN: 978-1-4842-5765-4
Online ISBN: 978-1-4842-5766-1
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