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Statistical Analysis with Swift - Data Sets, Statistical Models, and Predictions on Apple Platforms (Paperback, 1st ed.)
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Statistical Analysis with Swift - Data Sets, Statistical Models, and Predictions on Apple Platforms (Paperback, 1st ed.)
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Work with large data sets, create statistical models, and make
predictions with statistical methods using the Swift programming
language. The variety of problems that can be solved using
statistical methods range in fields from financial management to
machine learning to quality control and much more. Those who
possess knowledge of statistical analysis become highly sought
after candidates for companies worldwide. Starting with an
introduction to statistics and probability theory, you will learn
core concepts to analyze your data's distribution. You'll get an
introduction to random variables, how to work with them, and how to
leverage their properties in computations. On top of the
mathematics, you'll learn several essential features of the Swift
language that significantly reduce friction when working with large
data sets. These functionalities will prove especially useful when
working with multivariate data, which applies to most information
in today's complex world. Once you know how to describe a data set,
you will learn how to create models to make predictions about
future events. All provided data is generated from real-world
contexts so that you can develop an intuition for how to apply
statistical methods with Swift to projects you're working on now.
You will:* Work with real-world data using the Swift programming
language * Compute essential properties of data distributions to
understand your customers, products, and processes * Make
predictions about future events and compute how robust those
predictions are
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