Handbook of Big Data Analytics
Handbook of Big Data Analytics

Author: Wolfgang Karl Härdle

Publisher: Springer

Published: 2018-07-20

Total Pages: 532

ISBN-13: 3319182846

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Addressing a broad range of big data analytics in cross-disciplinary applications, this essential handbook focuses on the statistical prospects offered by recent developments in this field. To do so, it covers statistical methods for high-dimensional problems, algorithmic designs, computation tools, analysis flows and the software-hardware co-designs that are needed to support insightful discoveries from big data. The book is primarily intended for statisticians, computer experts, engineers and application developers interested in using big data analytics with statistics. Readers should have a solid background in statistics and computer science.

Computational Methods for Biological Models
Computational Methods for Biological Models

Author: Harendra Singh

Publisher: Springer Nature

Published: 2023-11-05

Total Pages: 254

ISBN-13: 9819950015

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This book discusses computational methods related to biological models using mathematical tools and techniques. The book chapters concentrate on numerical and analytical techniques that provide a global solution for biological models while keeping long-term benefits in mind. The solutions are useful in closely understanding biological models, and the results will be very useful for mathematicians, engineers, doctors, scientists and researchers working on real-life biological models. This book provides significant and current knowledge of biological models related to real-life applications. The book covers both methods and applications.

SwiftUI Essentials - iOS 14 Edition
SwiftUI Essentials - iOS 14 Edition

Author: Neil Smyth

Publisher: eBookFrenzy

Published: 2020-12-07

Total Pages: 618

ISBN-13: 195144227X

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The goal of this book is to teach the skills necessary to build iOS 14 applications using SwiftUI, Xcode 12 and the Swift 5.3 programming language. Beginning with the basics, this book provides an outline of the steps necessary to set up an iOS development environment together with an introduction to the use of Swift Playgrounds to learn and experiment with Swift. The book also includes in-depth chapters introducing the Swift 5.3 programming language including data types, control flow, functions, object-oriented programming, property wrappers and error handling. An introduction to the key concepts of SwiftUI and project architecture is followed by a guided tour of Xcode in SwiftUI development mode. The book also covers the creation of custom SwiftUI views and explains how these views are combined to create user interface layouts including the use of stacks, frames and forms. Other topics covered include data handling using state properties in addition to observable, state and environment objects, as are key user interface design concepts such as modifiers, lists, tabbed views, context menus, user interface navigation, and outline groups. The book also includes chapters covering graphics drawing, user interface animation, view transitions and gesture handling, WidgetKit, document-based apps and SiriKit integration. Chapters are also provided explaining how to integrate SwiftUI views into existing UIKit-based projects and explains the integration of UIKit code into SwiftUI. Finally, the book explains how to package up a completed app and upload it to the App Store for publication. Along the way, the topics covered in the book are put into practice through detailed tutorials, the source code for which is also available for download. The aim of this book, therefore, is to teach you the skills necessary to build your own apps for iOS 14 using SwiftUI. Assuming you are ready to download the iOS 14 SDK and Xcode 12 and have an Apple Mac system you are ready to get started.

Predictive Modeling and Analytics
Predictive Modeling and Analytics

Author: Jeffrey Strickland

Publisher: Lulu.com

Published: 2014-08-06

Total Pages: 490

ISBN-13: 1312375442

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This book is about predictive modeling. Yet, each chapter could easily be handled by an entire volume of its own. So one might think of this as a survey of predictive models, both statistical and machine learning. We define A predictive model as a statistical model or machine learning model used to predict future behavior based on past behavior. In order to use this book, the reader should have a basic understanding of statistics (statistical inference, models, tests, etc.)-this is an advanced book. Every chapter culminates in an example using R. R is a free software environment for statistical computing and graphics. It compiles and runs on a wide variety of UNIX platforms, Windows and MacOS. The book is organized so that statistical models are presented first (hopefully in a logical order), followed by machine learning models, and then applications: uplift modeling and time series. One could use this as a textbook with problem solving in R (there are no "by-hand" exercises).

SwiftUI Essentials - iOS 16 Edition
SwiftUI Essentials - iOS 16 Edition

Author: Neil Smyth

Publisher: eBookFrenzy

Published: 2022-09-12

Total Pages: 735

ISBN-13: 1951442520

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This book aims to teach the skills necessary to build iOS 16 applications using SwiftUI, Xcode 14, and the Swift 5.7 programming language. Beginning with the basics, this book outlines the steps to set up an iOS development environment, together with an introduction to using Swift Playgrounds to learn and experiment with Swift. The book also includes in-depth chapters introducing the Swift 5.7 programming language, including data types, control flow, functions, object-oriented programming, property wrappers, structured concurrency, and error handling. A guided tour of Xcode in SwiftUI development mode follows an introduction to the key concepts of SwiftUI and project architecture. The book also covers creating custom SwiftUI views and explains how these views are combined to create user interface layouts, including stacks, frames, and forms. Other topics covered include data handling using state properties and observable, state, and environment objects, as are key user interface design concepts such as modifiers, lists, tabbed views, context menus, user interface navigation, and outline groups. The book also covers graphics and chart drawing, user interface animation, view transitions and gesture handling, WidgetKit, document-based apps, Core Data, CloudKit, and SiriKit integration. Chapters also explain how to integrate SwiftUI views into existing UIKit-based projects and integrate UIKit code into SwiftUI. Finally, the book explains how to package up a completed app and upload it to the App Store for publication. Along the way, the topics covered in the book are put into practice through detailed tutorials, the source code for which is also available for download. The aim of this book, therefore, is to teach you the skills to build your own apps for iOS 16 using SwiftUI. Assuming you are ready to download the iOS 16 SDK and Xcode 14 and have an Apple Mac system, you are ready to get started.