| 書目名稱 | Statistical Analysis with Swift | | 副標(biāo)題 | Data Sets, Statistic | | 編輯 | Jimmy Andersson | | 視頻video | http://file.papertrans.cn/877/876356/876356.mp4 | | 概述 | 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 | | 圖書封面 |  | | 描述 | 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 intui | | 出版日期 | Book 2022 | | 關(guān)鍵詞 | Statistics; atistical analysis; Swift; Apple; iOS; macOS; iPadOS; Data Science; Statistical inference; machin | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4842-7765-2 | | isbn_softcover | 978-1-4842-7764-5 | | isbn_ebook | 978-1-4842-7765-2 | | copyright | Jimmy Andersson 2022 |
The information of publication is updating
|
|
|Archiver|手機(jī)版|小黑屋|
派博傳思國(guó)際
( 京公網(wǎng)安備110108008328)
GMT+8, 2025-10-6 09:04
發(fā)表于 2025-3-21 20:08:07
