Abstract
The purpose of this chapter is to instill in you the basic concepts of traditional statistics and probability. Certainly many of you might be wondering what it has to do with machine learning. Well, in order to apply a best fit model to your data, the most important prerequisite is for you to understand the data in the first place. This will enable you to find out distributions within data, measure the goodness of data, and run some basic tests to understand if some form of relationship exists between dependant and independent variables. Let’s dive in.
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© 2017 Danish Haroon
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Haroon, D. (2017). Statistics and Probability. In: Python Machine Learning Case Studies. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-2823-4_1
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DOI: https://doi.org/10.1007/978-1-4842-2823-4_1
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Publisher Name: Apress, Berkeley, CA
Print ISBN: 978-1-4842-2822-7
Online ISBN: 978-1-4842-2823-4
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