Machine Learning With Swift

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Machine Learning with Swift

Oleksandr Sosnovshchenko,Oleksandr Baiev
Machine Learning with Swift Book PDF

Author : Oleksandr Sosnovshchenko,Oleksandr Baiev
Publisher : Packt Publishing Ltd
Page : 371 pages
File Size : 49,9 Mb
Release : 2018-02-28
Category : Computers
ISBN : 9781787123526

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Machine Learning with Swift by Oleksandr Sosnovshchenko,Oleksandr Baiev Pdf

Leverage the power of machine learning and Swift programming to build intelligent iOS applications with ease Key Features Implement effective machine learning solutions for your iOS applications Use Swift and Core ML to build and deploy popular machine learning models Develop neural networks for natural language processing and computer vision Book Description Machine learning as a field promises to bring increased intelligence to the software by helping us learn and analyse information efficiently and discover certain patterns that humans cannot. This book will be your guide as you embark on an exciting journey in machine learning using the popular Swift language. We’ll start with machine learning basics in the first part of the book to develop a lasting intuition about fundamental machine learning concepts. We explore various supervised and unsupervised statistical learning techniques and how to implement them in Swift, while the third section walks you through deep learning techniques with the help of typical real-world cases. In the last section, we will dive into some hard core topics such as model compression, GPU acceleration and provide some recommendations to avoid common mistakes during machine learning application development. By the end of the book, you'll be able to develop intelligent applications written in Swift that can learn for themselves. What you will learn Learn rapid model prototyping with Python and Swift Deploy pre-trained models to iOS using Core ML Find hidden patterns in the data using unsupervised learning Get a deeper understanding of the clustering techniques Learn modern compact architectures of neural networks for iOS devices Train neural networks for image processing and natural language processing Who this book is for iOS developers who wish to create smarter iOS applications using the power of machine learning will find this book to be useful. This book will also benefit data science professionals who are interested in performing machine learning on mobile devices. Familiarity with Swift programming is all you need to get started with this book.

Deep Learning with Swift for TensorFlow

Rahul Bhalley
Deep Learning with Swift for TensorFlow Book PDF

Author : Rahul Bhalley
Publisher : Apress
Page : 287 pages
File Size : 55,9 Mb
Release : 2021-02-05
Category : Computers
ISBN : 1484263294

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Deep Learning with Swift for TensorFlow by Rahul Bhalley Pdf

Discover more insight about deep learning and how to work with Swift for TensorFlow to develop intelligent apps. TensorFlow was designed for easy adoption by iOS programmers working in Swift. This book covers the established and tested concepts and ties them to modern Swift programming and applicable use in developing for iOS. Using illustrative examples, the book starts off by introducing you to basic machine learning concepts along with code snippets in Swift for TensorFlow.. Fundamentals of neural networks required to understand today’s deep learning research will be covered and put in the context of working in the Swift language with the goal of developing primarily for Apple’s mobile ecosystem. Other important topics covered include computation graphs, loss functions, optimization techniques, regulazrizing nueral networks, recurrent neural networks—such as those used in Siri and Google Translate; and convolutional neural networks. You'll also learn to reuse pre-trained neural networks and work with generative models. Finally, developing and building in security to models is addressed. Swift code will be provided throughout the book to keep the concepts grounded in application within Apple’s frameworks. What You'll Learn • Write machine learning code in Swift • Run neural networks in Apple environments • Apply fundamental deep learning concepts to mobile app development Who This Book Is For Programmers familiar with Swift and the basics of AI

Practical Artificial Intelligence with Swift

Mars Geldard,Jonathon Manning,Paris Buttfield-Addison,Tim Nugent
Practical Artificial Intelligence with Swift Book PDF

Author : Mars Geldard,Jonathon Manning,Paris Buttfield-Addison,Tim Nugent
Publisher : O'Reilly Media
Page : 518 pages
File Size : 45,9 Mb
Release : 2019-09-03
Category : Computers
ISBN : 9781492044789

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Practical Artificial Intelligence with Swift by Mars Geldard,Jonathon Manning,Paris Buttfield-Addison,Tim Nugent Pdf

Create and implement AI-based features in your Swift apps for iOS, macOS, tvOS, and watchOS. With this practical book, programmers and developers of all kinds will find a one-stop shop for AI and machine learning with Swift. Taking a task-based approach, you’ll learn how to build features that use powerful AI features to identify images, make predictions, generate content, recommend things, and more. AI is increasingly essential for every developer—and you don’t need to be a data scientist or mathematician to take advantage of it in your apps. Explore Swift-based AI and ML techniques for building applications. Learn where and how AI-driven features make sense. Inspect tools such as Apple’s Python-powered Turi Create and Google’s Swift for TensorFlow to train and build models. I: Fundamentals and Tools—Learn AI basics, our task-based approach, and discover how to build or find a dataset. II: Task Based AI—Build vision, audio, text, motion, and augmentation-related features; learn how to convert preexisting models. III: Beyond—Discover the theory behind task-based practice, explore AI and ML methods, and learn how you can build it all from scratch... if you want to

Machine Learning by Tutorials (Second Edition)

raywenderlich Tutorial Team,Alexis Gallagher,Matthijs Hollemans,Audrey Tam,Chris LaPollo
Machine Learning by Tutorials Second Edition Book PDF

Author : raywenderlich Tutorial Team,Alexis Gallagher,Matthijs Hollemans,Audrey Tam,Chris LaPollo
Publisher : Unknown
Page : 128 pages
File Size : 44,9 Mb
Release : 2020-05-19
Category : Electronic
ISBN : 1942878931

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Machine Learning by Tutorials (Second Edition) by raywenderlich Tutorial Team,Alexis Gallagher,Matthijs Hollemans,Audrey Tam,Chris LaPollo Pdf

Learn Machine Learning!Machine learning is one of those topics that can be daunting at first blush. It's not clear where to start, what path someone should take and what APIs to learn in order to get started teaching machines how to learn.This is where Machine Learning by Tutorials comes in! In this book, we'll hold your hand through a number of tutorials, to get you started in the world of machine learning. We'll cover a wide range of popular topics in the field of machine learning, while developing apps that work on iOS devices.Who This Book Is ForThis books is for the intermediate iOS developer who already knows the basics of iOS and Swift development, but wants to understand how machine learning works.Topics covered in Machine Learning by TutorialsCoreML: Learn how to add a machine learning model to your iOS apps, and how to use iOS APIs to access it.Create ML: Learn how to create your own model using Apple's Create ML Tool.Turi Create and Keras: Learn how to tune parameters to improve your machine learning model using more advanced tools.Image Classification: Learn how to apply machine learning models to predict objects in an image.Convolutional Networks: Learn advanced machine learning techniques for predicting objects in an image with Convolutional Neural Networks (CNNs).Sequence Classification: Learn how you can use recurrent neural networks (RNNs) to classify motion from an iPhone's motion sensor.Text-to-text Transform: Learn how to use machine learning to convert bodies of text between two languages.By the end of this book, you'll have a firm understanding of what machine learning is, what it can and cannot do, and how you can use machine learning in your next app!

Machine Learning with Core ML

Joshua Newnham
Machine Learning with Core ML Book PDF

Author : Joshua Newnham
Publisher : Packt Publishing Ltd
Page : 368 pages
File Size : 54,7 Mb
Release : 2018-06-28
Category : Computers
ISBN : 9781788835596

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Machine Learning with Core ML by Joshua Newnham Pdf

Leverage the power of Apple's Core ML to create smart iOS apps Key Features Explore the concepts of machine learning and Apple’s Core ML APIs Use Core ML to understand and transform images and videos Exploit the power of using CNN and RNN in iOS applications Book Description Core ML is a popular framework by Apple, with APIs designed to support various machine learning tasks. It allows you to train your machine learning models and then integrate them into your iOS apps. Machine Learning with Core ML is a fun and practical guide that not only demystifies Core ML but also sheds light on machine learning. In this book, you’ll walk through realistic and interesting examples of machine learning in the context of mobile platforms (specifically iOS). You’ll learn to implement Core ML for visual-based applications using the principles of transfer learning and neural networks. Having got to grips with the basics, you’ll discover a series of seven examples, each providing a new use-case that uncovers how machine learning can be applied along with the related concepts. By the end of the book, you will have the skills required to put machine learning to work in their own applications, using the Core ML APIs What you will learn Understand components of an ML project using algorithms, problems, and data Master Core ML by obtaining and importing machine learning model, and generate classes Prepare data for machine learning model and interpret results for optimized solutions Create and optimize custom layers for unsupported layers Apply CoreML to image and video data using CNN Learn the qualities of RNN to recognize sketches, and augment drawing Use Core ML transfer learning to execute style transfer on images Who this book is for Machine Learning with Core ML is for you if you are an intermediate iOS developer interested in applying machine learning to your mobile apps. This book is also for those who are machine learning developers or deep learning practitioners who want to bring the power of neural networks in their iOS apps. Some exposure to machine learning concepts would be beneficial but not essential, as this book acts as a launchpad into the world of machine learning for developers.

Machine Learning with Core ML 2 and Swift

Karoly Nyisztor
Machine Learning with Core ML 2 and Swift Book PDF

Author : Karoly Nyisztor
Publisher : Independently Published
Page : 154 pages
File Size : 54,9 Mb
Release : 2018-10-21
Category : Electronic
ISBN : 1983292060

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Machine Learning with Core ML 2 and Swift by Karoly Nyisztor Pdf

Take a deep dive into machine learning with Core ML, and learn how to integrate common machine learning tasks into your apps. "Machine Learning with Core ML 2 and Swift" is a straightforward guide to the hottest topic in the tech industry. In this book, author Károly Nyisztor helps to familiarize you with common machine learning tasks. He introduces each concept using simple terms, avoiding confusing jargon. He focuses on the practical application, using hands-on Swift code examples you can use for reference and practice.Throughout the book, Károly walks you through several apps to familiarize yourself with Core ML capabilities, including synthetic vision and natural language processing.Topics include:- How to take advantage of Core ML- Setting up a Core ML project in Xcode- How to use pretrained models- Generating predictions- Using Vision- Image analysis- Natural language processing"Machine Learning with Core ML 2 and Swift" is the perfect book for you if you're interested in machine learning, or if you're looking to switch into an exciting new career track.About the AuthorKároly Nyisztor is a veteran mobile developer and instructor.He has built several successful iOS apps and games--most of which were featured by Apple--and is the founder at LEAKKA, a software development, and tech consulting company. He's worked with companies such as Apple, Siemens, SAP, and Zen Studios.

Deep Learning with Swift for TensorFlow

Rahul Bhalley
Deep Learning with Swift for TensorFlow Book PDF

Author : Rahul Bhalley
Publisher : Unknown
Page : 290 pages
File Size : 51,7 Mb
Release : 2021
Category : Artificial intelligence
ISBN : 1484263316

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Deep Learning with Swift for TensorFlow by Rahul Bhalley Pdf

About this book Discover more insight about deep learning algorithms with Swift for TensorFlow. The Swift language was designed by Apple for optimized performance and development whereas TensorFlow library was designed by Google for advanced machine learning research. Swift for TensorFlow is a combination of both with support for modern hardware accelerators and more. This book covers the deep learning concepts from fundamentals to advanced research. It also introduces the Swift language for beginners in programming. This book is well suited for newcomers and experts in programming and deep learning alike. After reading this book you should be able to program various state-of-the-art deep learning algorithms yourself. The book covers foundational concepts of machine learning. It also introduces the mathematics required to understand deep learning. Swift language is introduced such that it allows beginners and researchers to understand programming and easily transit to Swift for TensorFlow, respectively. You will understand the nuts and bolts of building and training neural networks, and build advanced algorithms. What You'll Learn: Understand deep learning concepts; Program various deep learning algorithms; Run the algorithms in cloud. Who This Book Is For: Newcomers to programming and/or deep learning, and experienced developers; Experienced deep learning practitioners and researchers who desire to work in user space instead of library space with a same programming language without compromising the speed.

Hello Swift!

Puneet Bakshi,Tanmay Bakshi
Hello Swift Book PDF

Author : Puneet Bakshi,Tanmay Bakshi
Publisher : Simon and Schuster
Page : 613 pages
File Size : 48,5 Mb
Release : 2019-04-19
Category : Computers
ISBN : 9781638355823

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Hello Swift! by Puneet Bakshi,Tanmay Bakshi Pdf

Summary Hello Swift! is a how-to guide to programming iOS Apps with the Swift language, written from a kid's perspective. This approachable, well-illustrated, step-by-step guide takes you from beginning programming concepts all the way through developing complete apps. (Adults will like it too!) Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology It's fun to play games and explore new things on your iPhone. How amazing would it be to create your own apps? With a little practice, you can! Apple's Swift language, along with special coding playgrounds and an easy-to-use programming environment, make it easier than ever. Take it from author Tanmay Bakshi, who started programming when he was just five years old. About the Book His book, Hello Swift! iOS app programming for kids and other beginners, teaches you how to write apps for iPhones and iOS devices step by step, starting with your first line of Swift code. Packed with dozens of apps and special exercises, the book will teach you how to program by writing games, solving puzzles, and exploring what your iPhone can do. Hello Swift! gets you started. Where you go next is up to you! What's inside Crystal-clear explanations anyone can understand Kid-friendly examples, including games and puzzles Learn by doing—you'll build dozens of small apps Exercises that encourage critical thinking About the Reader Written for kids who want to learn how to program. (Psst! Adults like it, too.) About the Author Tanmay Bakshi had his first app on the iOS App Store at the age of nine. He's now the youngest IBM Champion, a Cloud Advisor, Watson Developer, TED Speaker, and Manning author! Table of Contents Get ready to build apps with Swift! Create your first app Your first real Swift code using variables I/O laboratory Computers make decisions, too! Let computers do repetitive work Knitting variables into arrays and dictionaries Reuse your code: Clean it with function detergent Reduce your code: Use less, do more with class detergent Reading and writing files Frameworks: Bookshelves of classes SpriteKit: Fun animation time Time to watch your WatchKit code Continuing your journey with Swift

Mastering Machine Learning with Core ML and Python

Vardhan Agrawal
Mastering Machine Learning with Core ML and Python Book PDF

Author : Vardhan Agrawal
Publisher : AppCoda
Page : 330 pages
File Size : 53,5 Mb
Release : 2020-08-13
Category : Computers
ISBN : 9789887535003

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Mastering Machine Learning with Core ML and Python by Vardhan Agrawal Pdf

Machine learning, now more than ever, plays a pivotal role in almost everything we do in our digital lives. Whether it’s interacting with a virtual assistant like Siri or typing out a message to a friend, machine learning is the technology facilitating those actions. It’s clear that machine learning is here to stay, and as such, it’s a vital skill to have in the upcoming decades. This book covers Core ML in-depth. You will learn how to create and deploy your own machine learning model. On top of that, you will learn about Turi Create, Create ML, Keras, Firebase, and Jupyter Notebooks, just to name a few. These are a few examples of professional tools which are staples for many machine learning experts. By going through this book, you’ll also become proficient with Python, the language that’s most frequently used for machine learning. Plus, you would have created a handful of ready-to-use apps such as barcode scanners, image classifiers, and language translators. Most importantly, you will master the ins-and-outs of Core ML.

Convolutional Neural Networks with Swift for Tensorflow

Brett Koonce
Convolutional Neural Networks with Swift for Tensorflow Book PDF

Author : Brett Koonce
Publisher : Unknown
Page : 0 pages
File Size : 45,8 Mb
Release : 2021
Category : Electronic
ISBN : 1484261690

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Convolutional Neural Networks with Swift for Tensorflow by Brett Koonce Pdf

Dive into and apply practical machine learning and dataset categorization techniques while learning Tensorflow and deep learning. This book uses convolutional neural networks to do image recognition all in the familiar and easy to work with Swift language. It begins with a basic machine learning overview and then ramps up to neural networks and convolutions and how they work. Using Swift and Tensorflow, you'll perform data augmentation, build and train large networks, and build networks for mobile devices. You'll also cover cloud training and the network you build can categorize greyscale data, such as mnist, to large scale modern approaches that can categorize large datasets, such as imagenet. Convolutional Neural Networks with Swift for Tensorflow uses a simple approach that adds progressive layers of complexity until you have arrived at the current state of the art for this field. You will: Categorize and augment datasets Build and train large networks, including via cloud solutions Deploy complex systems to mobile devices.

Machine Learning for iOS Developers

Abhishek Mishra
Machine Learning for iOS Developers Book PDF

Author : Abhishek Mishra
Publisher : John Wiley & Sons
Page : 352 pages
File Size : 48,6 Mb
Release : 2020-03-04
Category : Computers
ISBN : 9781119602873

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Machine Learning for iOS Developers by Abhishek Mishra Pdf

Harness the power of Apple iOS machine learning (ML) capabilities and learn the concepts and techniques necessary to be a successful Apple iOS machine learning practitioner! Machine earning (ML) is the science of getting computers to act without being explicitly programmed. A branch of Artificial Intelligence (AI), machine learning techniques offer ways to identify trends, forecast behavior, and make recommendations. The Apple iOS Software Development Kit (SDK) allows developers to integrate ML services, such as speech recognition and language translation, into mobile devices, most of which can be used in multi-cloud settings. Focusing on Apple’s ML services, Machine Learning for iOS Developers is an up-to-date introduction to the field, instructing readers to implement machine learning in iOS applications. Assuming no prior experience with machine learning, this reader-friendly guide offers expert instruction and practical examples of ML integration in iOS. Organized into two sections, the book’s clearly-written chapters first cover fundamental ML concepts, the different types of ML systems, their practical uses, and the potential challenges of ML solutions. The second section teaches readers to use models—both pre-trained and user-built—with Apple’s CoreML framework. Source code examples are provided for readers to download and use in their own projects. This book helps readers: Understand the theoretical concepts and practical applications of machine learning used in predictive data analytics Build, deploy, and maintain ML systems for tasks such as model validation, optimization, scalability, and real-time streaming Develop skills in data acquisition and modeling, classification, and regression. Compare traditional vs. ML approaches, and machine learning on handsets vs. machine learning as a service (MLaaS) Implement decision tree based models, an instance-based machine learning system, and integrate Scikit-learn & Keras models with CoreML Machine Learning for iOS Developers is a must-have resource software engineers and mobile solutions architects wishing to learn ML concepts and implement machine learning on iOS Apps.

AI and Machine Learning for Coders

Laurence Moroney
AI and Machine Learning for Coders Book PDF

Author : Laurence Moroney
Publisher : O'Reilly Media
Page : 393 pages
File Size : 43,6 Mb
Release : 2020-10-01
Category : Computers
ISBN : 9781492078166

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AI and Machine Learning for Coders by Laurence Moroney Pdf

If you're looking to make a career move from programmer to AI specialist, this is the ideal place to start. Based on Laurence Moroney's extremely successful AI courses, this introductory book provides a hands-on, code-first approach to help you build confidence while you learn key topics. You'll understand how to implement the most common scenarios in machine learning, such as computer vision, natural language processing (NLP), and sequence modeling for web, mobile, cloud, and embedded runtimes. Most books on machine learning begin with a daunting amount of advanced math. This guide is built on practical lessons that let you work directly with the code. You'll learn: How to build models with TensorFlow using skills that employers desire The basics of machine learning by working with code samples How to implement computer vision, including feature detection in images How to use NLP to tokenize and sequence words and sentences Methods for embedding models in Android and iOS How to serve models over the web and in the cloud with TensorFlow Serving

Machine Learning Projects for Mobile Applications

Karthikeyan NG
Machine Learning Projects for Mobile Applications Book PDF

Author : Karthikeyan NG
Publisher : Packt Publishing Ltd
Page : 246 pages
File Size : 44,9 Mb
Release : 2018-10-31
Category : Computers
ISBN : 9781788998468

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Machine Learning Projects for Mobile Applications by Karthikeyan NG Pdf

Bring magic to your mobile apps using TensorFlow Lite and Core ML Key FeaturesExplore machine learning using classification, analytics, and detection tasks.Work with image, text and video datasets to delve into real-world tasksBuild apps for Android and iOS using Caffe, Core ML and Tensorflow LiteBook Description Machine learning is a technique that focuses on developing computer programs that can be modified when exposed to new data. We can make use of it for our mobile applications and this book will show you how to do so. The book starts with the basics of machine learning concepts for mobile applications and how to get well equipped for further tasks. You will start by developing an app to classify age and gender using Core ML and Tensorflow Lite. You will explore neural style transfer and get familiar with how deep CNNs work. We will also take a closer look at Google’s ML Kit for the Firebase SDK for mobile applications. You will learn how to detect handwritten text on mobile. You will also learn how to create your own Snapchat filter by making use of facial attributes and OpenCV. You will learn how to train your own food classification model on your mobile; all of this will be done with the help of deep learning techniques. Lastly, you will build an image classifier on your mobile, compare its performance, and analyze the results on both mobile and cloud using TensorFlow Lite with an RCNN. By the end of this book, you will not only have mastered the concepts of machine learning but also learned how to resolve problems faced while building powerful apps on mobiles using TensorFlow Lite, Caffe2, and Core ML. What you will learnDemystify the machine learning landscape on mobileAge and gender detection using TensorFlow Lite and Core MLUse ML Kit for Firebase for in-text detection, face detection, and barcode scanningCreate a digit classifier using adversarial learningBuild a cross-platform application with face filters using OpenCVClassify food using deep CNNs and TensorFlow Lite on iOS Who this book is for Machine Learning Projects for Mobile Applications is for you if you are a data scientist, machine learning expert, deep learning, or AI enthusiast who fancies mastering machine learning and deep learning implementation with practical examples using TensorFlow Lite and CoreML. Basic knowledge of Python programming language would be an added advantage.

Learning Swift

Paris Buttfield-Addison,Jon Manning,Tim Nugent
Learning Swift Book PDF

Author : Paris Buttfield-Addison,Jon Manning,Tim Nugent
Publisher : "O'Reilly Media, Inc."
Page : 534 pages
File Size : 54,8 Mb
Release : 2016-05-02
Category : Computers
ISBN : 9781491940716

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Learning Swift by Paris Buttfield-Addison,Jon Manning,Tim Nugent Pdf

Get hands-on experience with Apple’s Swift programming language by building real working apps. With this practical guide, skilled programmers with little or no knowledge of Apple development will learn how to code with Swift 2 by developing three complete, tightly linked versions of the Notes application for the OS X, iOS, and watchOS platforms. In the process, you’ll learn Swift’s fundamentals, including its syntax and features, along with the basics of the Cocoa, CocoaTouch, and WatchKit frameworks. This book teaches you how to use common design patterns for Swift, how to structure an application for Apple’s platforms, and how to submit working apps to the App Store. Divided into four distinct parts, this book includes: Swift 2 basics: Learn Swift’s features for object-oriented development, as well as various developer tools OS X app development: Set up your app, work with its documents, and build out its features iOS app development: Use multimedia, contacts, location, notifications, and iCloud files to build a fully featured iOS Notes app Advanced app extensions: Support Apple Watch and learn how to debug, monitor, and test all three of your Swift apps

Learn Swift by Building Applications

Emil Atanasov
Learn Swift by Building Applications Book PDF

Author : Emil Atanasov
Publisher : Packt Publishing Ltd
Page : 356 pages
File Size : 53,5 Mb
Release : 2018-05-25
Category : Computers
ISBN : 9781786466013

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Learn Swift by Building Applications by Emil Atanasov Pdf

Start building your very own mobile apps with this comprehensive introduction to Swift and object-oriented programming Key Features A complete beginner's guide to Swift programming language Understand core Swift programming concepts and techniques for creating popular iOS apps Start your journey toward building mobile app development with this practical guide Book Description Swift Language is now more powerful than ever; it has introduced new ways to solve old problems and has gone on to become one of the fastest growing popular languages. It is now a de-facto choice for iOS developers and it powers most of the newly released and popular apps. This practical guide will help you to begin your journey with Swift programming through learning how to build iOS apps. You will learn all about basic variables, if clauses, functions, loops, and other core concepts; then structures, classes, and inheritance will be discussed. Next, you’ll dive into developing a weather app that consumes data from the internet and presents information to the user. The final project is more complex, involving creating an Instagram like app that integrates different external libraries. The app also uses CocoaPods as its package dependency manager, to give you a cutting-edge tool to add to your skillset. By the end of the book, you will have learned how to model real-world apps in Swift. What you will learn Become a pro at iOS development by creating simple-to-complex iOS mobile applications Master Playgrounds, a unique and intuitive approach to teaching Xcode Tackle the basics, including variables, if clauses, functions, loops and structures, classes, and inheritance Model real-world objects in Swift and have an in-depth understanding of the data structures used, along with OOP concepts and protocols Use CocoaPods, an open source Swift package manager to ease your everyday developer requirements Develop a wide range of apps, from a simple weather app to an Instagram-like social app Get ahead in the industry by learning how to use third-party libraries efficiently in your apps Who this book is for This book is for beginners who are new to Swift or may have some preliminary knowledge of Objective-C. If you are interested in learning and mastering Swift in Apple’s ecosystem, namely mobile development, then this book is for you.