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Statistical Analysis with Swift

Data Sets, Statistical Models, and Predictions on Apple Platforms

  • Book
  • © 2022

Overview

Authors:
  1. Jimmy Andersson

    1. Västra Frölunda, Sweden

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  • Create models from existing data with Swift
  • Understand how data scientists can use statistical analysis natively in the Apple eco system
  • Capture the properties of a data set and describe it using key numbers

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Table of contents (8 chapters)

  1. Front Matter

    Pages i-xiii
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  2. Swift Primer

    • Jimmy Andersson
    Pages 1-17

  3. Introduction to Probability and Random Variables

    • Jimmy Andersson
    Pages 19-38

  4. Distributions

    • Jimmy Andersson
    Pages 39-70

  5. Predicting House Sale Prices with Linear Regression

    • Jimmy Andersson
    Pages 71-107

  6. Hypothesis Testing

    • Jimmy Andersson
    Pages 109-134

  7. Statistical Methods for Data Compression

    • Jimmy Andersson
    Pages 135-165

  8. Statistical Methods in Recommender Systems

    • Jimmy Andersson
    Pages 167-198

  9. Reflections

    • Jimmy Andersson
    Pages 199-210

  10. Back Matter

    Pages 211-214
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Keywords

About this book

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 

Authors and Affiliations

  • Västra Frölunda, Sweden

    Jimmy Andersson

About the author

Jimmy M Andersson is a software engineer in the automotive industry, specializing in acquiring and visualizing real-time data collected from cars. He is also a graduate student at Chalmers University of Technology, currently working towards a master's degree in data science and artificial intelligence. Outside of work and studies, Jimmy writes software development articles focusing on the Swift programming language. He also develops the StatKit library - a collection of statistical analysis tools for Swift developers. StatKit is open-source and available for anyone who wants to incorporate statistical methods into their programs.

Bibliographic Information

  • Book Title: Statistical Analysis with Swift

  • Book Subtitle: Data Sets, Statistical Models, and Predictions on Apple Platforms

  • Authors: Jimmy Andersson

  • DOI: https://doi.org/10.1007/978-1-4842-7765-2

  • Publisher: Apress Berkeley, CA

  • eBook Packages: Professional and Applied Computing, Apress Access Books, Professional and Applied Computing (R0)

  • Copyright Information: Jimmy Andersson 2022

  • Softcover ISBN: 978-1-4842-7764-5Published: 31 October 2021

  • eBook ISBN: 978-1-4842-7765-2Published: 30 October 2021

  • Edition Number: 1

  • Number of Pages: XIII, 214

  • Number of Illustrations: 28 b/w illustrations

  • Topics: Apple and iOS

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