Jimmy Andersson
Statistical Analysis with Swift: Data Sets, Statistical Models, and Predictions on Apple Platforms
Statistical Analysis with Swift: Data Sets, Statistical Models, and Predictions on Apple Platforms
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Excellent- More about Statistical Analysis with Swift: Data Sets, Statistical Models, and Predictions on Apple Platforms
Swift is a programming language used to work with large data sets, create statistical models, and make predictions using statistical methods. It covers an introduction to statistics and probability theory, random variables, and the Swift language's features for working with large data sets. It also teaches how to create models to make predictions about future events and compute how robust those predictions are.
Format: Paperback / softback
Length: 214 pages
Publication date: 31 October 2021
Publisher: APress
The power of statistical methods lies in their ability to solve a wide range of problems across diverse fields. From financial management to machine learning, and from quality control to data analysis, statistical techniques offer valuable insights and solutions. Those with expertise in statistical analysis are highly sought after by companies worldwide, as they possess the skills to extract meaningful information from data and make informed decisions.
In this comprehensive course, we will embark on a journey to unlock the secrets of statistical analysis using the Swift programming language. We will begin by introducing the fundamental concepts of statistics and probability theory, which form the foundation of our understanding. We will explore random variables, their properties, and how they can be used to analyze data distributions.
Furthermore, we will delve into the essential features of the Swift language that are designed to streamline the process of working with large data sets. These functionalities will prove invaluable when dealing with multivariate data, which is prevalent in today's complex world. By leveraging the power of Swift, we will be able to describe data sets, create models, and make predictions about future events with confidence.
Throughout the course, we will use real-world data to demonstrate the practical applications of statistical methods. This hands-on approach will help you develop an intuition for how to apply statistical techniques to your projects, whether you are working on financial analysis, machine learning, or any other field.
So, if you are ready to unlock the full potential of data and make informed decisions based on empirical evidence, join us on this exciting journey of statistical analysis with Swift. Let's embark on a path to becoming the data experts of the future!
Weight: 355g
Dimension: 235 x 155 (mm)
ISBN-13: 9781484277645
Edition number: 1st ed.
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