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Machine Learning For Ios Developers


Machine Learning For Ios Developers
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Machine Learning For Ios Developers


Machine Learning For Ios Developers
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Author : Abhishek Mishra
language : en
Publisher: John Wiley & Sons
Release Date : 2020-02-12

Machine Learning For Ios Developers written by Abhishek Mishra and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-12 with Computers categories.


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.



Machine Learning With Core Ml


Machine Learning With Core Ml
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Author : Joshua Newnham
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-06-28

Machine Learning With Core Ml written by Joshua Newnham and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-06-28 with Computers categories.


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 For Ios Developers


Machine Learning For Ios Developers
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Author :
language : en
Publisher:
Release Date : 2018

Machine Learning For Ios Developers written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with categories.


Do you want to build custom machine learning models to enhance your iOS apps? Even if you're not a machine learning expert, Core ML makes it easy to integrate an existing machine learning model into an iOS application. And with Turi Create, Apple also provides a Python framework that simplifies the development of custom machine learning models. This course provides an introduction to machine learning and the Core ML framework, and covers how to build your own custom machine learning model and integrate it into an iOS app. Upon wrapping up this course, you will have built an image classifier that can distinguish cats from dogs in a provided picture.



Machine Learning For Ios Developers


Machine Learning For Ios Developers
DOWNLOAD
Author : Abhishek Mishra
language : en
Publisher: John Wiley & Sons
Release Date : 2020-02-12

Machine Learning For Ios Developers written by Abhishek Mishra and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-12 with Computers categories.


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.



Ios 17 App Development For Beginners


Ios 17 App Development For Beginners
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Author : Arpit Kulsreshtha
language : en
Publisher: BPB Publications
Release Date : 2023-10-10

Ios 17 App Development For Beginners written by Arpit Kulsreshtha and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-10 with Computers categories.


Learn iOS app development from scratch and build your dream app KEY FEATURES ● Experience the cutting-edge capabilities of Xcode 15 and Swift 5.9 with this enhanced edition, unraveling the latest features. ● Embark on an exciting journey into the world of iOS programming while enjoying the process of building your very own iOS apps. ● Uncover the exciting advancements in iOS 17, including SwiftData, ActivityKit, SwiftUI, CoreML, and the Symbol Framework. DESCRIPTION “iOS 17 App Development for Beginners” is a definitive guide to building iOS apps with Swift. This book teaches the fundamentals of Swift, laying the foundation for future app development. It covers how to develop user interfaces for iOS apps using SwiftUI and UIKit and how to write code for views, view controllers, and data managers. The book also teaches using Core Data, Swift Data, and SQLite for database storage. Additionally, it covers essential Apple technologies and frameworks, such as Core Location and MapKit for GPS tracking, Camera and Photo Library for image storage, CI/CD, and Core ML for machine learning and artificial intelligence solutions. After completing this book, you will have a solid grasp of Swift app development and successfully publish your apps to the App Store. WHAT YOU WILL LEARN ● Explore the enhancements in the Swift programming language. ● Discover how to seamlessly integrate and manage complex data models using SwiftData and Core Data. ● Take a deep dive into the declarative and intuitive SwiftUI framework. ● Learn how to integrate machine learning with Core ML into your apps. ● Integrate ActivityKit to create engaging and interactive experiences within your iOS 17 apps. WHO THIS BOOK IS FOR This book is an excellent resource for anyone who wants to learn how to program in Swift and develop applications for the iOS platform. Whether you are a beginner, a student, or a professional, this book will teach you the basics of Swift and how to use it to create your apps. No prior programming experience is necessary, but some familiarity with other programming languages will be helpful. TABLE OF CONTENTS 1. Getting Started with Xcode 2. Swift Fundamentals 3. Class, Structure, and Enumerations 4. Protocols, Extensions, and Error Handling 5. Automatic Reference Counting and Memory Safety 6. Implementing iOS 17 Architecture 7. User Interface Design with UIKit 8. User Interface Design with SwiftUI 9. Concurrency in Swift and SwiftUI 10. Storing Data with SQLite and Core Data 11. File Handling in iOS 12. Core Location with MapKit 13. Camera and Photo Library 14. Multithreading in iOS 15. Networking in iOS Apps 16. Mobile App Architectures, Patterns, and Anti-Patterns 17. Publish iOS App on the Apple App Store 18. Continuous Integration and Delivery with Xcode Cloud 19. Advance iOS with New Frameworks



Machine Learning For Ios Developers


Machine Learning For Ios Developers
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Author :
language : en
Publisher:
Release Date : 2018

Machine Learning For Ios Developers written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with categories.


Get started with machine learning and the Core ML framework, and learn how to build your own custom machine learning model and integrate it into an iOS app.



Ios Development For Jobseekers


Ios Development For Jobseekers
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Author : Corbin L. Miller
language : en
Publisher: BPB Publications
Release Date : 2025-04-18

Ios Development For Jobseekers written by Corbin L. Miller and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-18 with Computers categories.


DESCRIPTION iOS development is a highly sought-after skill in today's tech industry, and this book, iOS Development for Jobseekers, is your direct pathway to mastering it and landing your dream job. It provides a solid foundation in Swift, Apple's SDKs, and essential architectural patterns, ensuring you are well-prepared for any iOS development interview. Through structured chapters, readers will explore essential Apple frameworks, best coding practices, optimization strategies, debugging techniques, and career growth strategies to stand out in the increasingly competitive job market. The book examines advanced topics like ARKit, Core ML, app extensions, and master debugging with LLDB and Instruments. Furthermore, it details testing strategies, deployment, and corporate development environments, ensuring you understand the entire iOS development lifecycle from start to finish. By the end of this book, you will be prepared to develop, build, test, deploy, and scale mobile applications while gaining the expertise needed to secure a job in the tech industry. With extensive code examples, technical insights, and career-focused advice, iOS Development for Jobseekers serves as an essential resource for success in mobile development. WHAT YOU WILL LEARN ● Master Swift and Xcode to build professional iOS applications. ● Develop, test, and debug apps for real-world mobile users. ● Understand UI/UX design principles for iOS app interfaces. ● Implement databases, APIs, and cloud services in apps. ● Optimize app performance and ensure smooth user experiences. ● Prepare for job interviews and succeed in the mobile industry. WHO THIS BOOK IS FOR This book is for aspiring iOS developers, including programmers, students, and career changers, seeking to build professional mobile apps. Basic programming knowledge is helpful, but no prior iOS experience is required. TABLE OF CONTENTS Section 1: Core Knowledge 1. Swift Fundamentals 2. Apple SDKs 3. Architecture and Design Patterns 4. Application Lifecycle Section 2: Development Arena 5. User Interface Design 6. User Input and Gestures 7. Concurrent Programming 8. Data Persistence 9. Networking and Full Stack Development 10. Security and Data Protection 11. Notifications and Processing 12. Memory Management 13. Performance Optimization 14. Core Animation and Graphics 15. Audio and Video Processing 16. Other Useful APIs 17. Error Handling Section 3: Keys for Advanced Knowledge 18. Accessibility and Internationalization 19. App Extensions 20. Augmented Reality and Machine Learning 21. Debugging Tools and Techniques 22. Mobile Application Testing Section 4: The Business of Mobile Apps 23. Corporate Application Development Environments 24. App Deployment and Distribution 25. The Future of Mobile Development Section 5: Advanced Proficiency 26. Mastering the Interview 27. Resources and Advancement



Pro Iphone Development With Swift 5


Pro Iphone Development With Swift 5
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Author : Wallace Wang
language : en
Publisher: Apress
Release Date : 2019-06-18

Pro Iphone Development With Swift 5 written by Wallace Wang and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-18 with Computers categories.


If you’ve already learned the basics of Swift and iOS programming, it’s time to take your skills to the next level. In this follow up work to the best-selling Beginning iPhone Development with Swift, you’ll learn tips for organizing and debugging Swift code, using multi-threaded programming with Grand Central Dispatch, passing data between view controllers, and designing apps for multiple languages. You’ll also see how to play audio and video files, access the camera and save pictures to the Photos library, use location services to pinpoint your position on a map, display web pages, and create animation to spice up any user interface. Finally, you’ll learn how to use Apple’s advanced frameworks for machine learning, facial and text recognition, and creating augmented reality apps. Pro iPhone Development with Swift 5 provides insightful instruction on how to improve your existing apps or create powerful new iOS apps using the latest version of the Swift programming language. What You Will Learn Save and retrieve data when apps close or get pushed in the background Recognize speech with Apple’s advanced frameworks Create augmented reality apps Understand spoken commands with Siri Who This Book is For Aspiring iOS app developers familiar with the Apple Swift programming language and/or the iOS SDK, but ready to move to the next level.



Ultimate Ios App Development Guide Master Ios App Development By Building Five End To End Ios Applications Using Swift Xcode Healthkit And Coreml


Ultimate Ios App Development Guide Master Ios App Development By Building Five End To End Ios Applications Using Swift Xcode Healthkit And Coreml
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Author : Surabhi Chopada
language : en
Publisher: Orange Education Pvt Limited
Release Date : 2024-08-31

Ultimate Ios App Development Guide Master Ios App Development By Building Five End To End Ios Applications Using Swift Xcode Healthkit And Coreml written by Surabhi Chopada and has been published by Orange Education Pvt Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-31 with Computers categories.


Build Your Dream iOS Apps: A Project-Based Learning Approach Key Features ● Gain a thorough understanding of core iOS development concepts and techniques, with a focus on practical application. ● Build five end-to-end iOS applications, including a to-do list app, a weather app, a fitness tracker with HealthKit, and an image recognition app with Core ML, to apply your skills in real-world scenarios. ● Understand the complete process of testing, debugging, and deploying your apps to the App Store, preparing you for real-world deployment. Book Description Ultimate iOS App Development Guide is your gateway to the dynamic world of iOS App development and guides you through the core concepts and techniques essential for iOS app creation. Each chapter delves into crucial components of iOS development, with clear explanations and practical examples to apply your knowledge in real-world scenarios. Structured into 10 chapters, the book begins with fundamental concepts, providing a solid foundation for beginners. Each subsequent chapter builds on this foundation with practical projects, blending theoretical iOS and Swift concepts with hands-on implementation. These carefully selected projects are designed to develop your application development skills, whether you're a novice or looking to deepen your expertise. This book serves as a robust resource, supporting your growth as an iOS developer. You'll create exciting projects that range from a simple to-do list app to advanced projects like HealthKit and Core ML integration, helping you grasp specific concepts thoroughly. The book also covers the app distribution process to the App Store, making it a comprehensive resource for both budding developers and seasoned professionals looking to broaden their expertise. What you will learn ● Gain an overview of the iOS development ecosystem, including tools, frameworks, and key concepts. ● Learn the process of setting up your development environment and creating your first iOS app. ● Master the fundamental syntax and features of Swift programming language. ● Develop a fully functional to-do list app, learning core iOS development practices and UI design principles. ● Understand how to work with APIs by building a weather app that fetches real-time data. ● Explore how to integrate popular social media platforms into your app, allowing users to share content seamlessly. ● Build a fitness tracking app using HealthKit, learning to work with health data and sensors. Table of Contents 1. Introduction to iOS Development 2. Getting Started with iOS App Development 3. Swift Programming Language Basics 4. Building a To-Do List App 5. Developing a Weather App 6. Integrating Social Media 7. Creating Fitness Tracking App Using HealthKit 8. Building an Image Recognition App Using Core ML and VisionKit 9. Testing, Debugging, and Deployment 10. Advance Concepts Index



Machine Learning Projects For Net Developers


Machine Learning Projects For Net Developers
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Author : Mathias Brandewinder
language : en
Publisher: Apress
Release Date : 2015-07-09

Machine Learning Projects For Net Developers written by Mathias Brandewinder and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-07-09 with Computers categories.


Machine Learning Projects for .NET Developers shows you how to build smarter .NET applications that learn from data, using simple algorithms and techniques that can be applied to a wide range of real-world problems. You’ll code each project in the familiar setting of Visual Studio, while the machine learning logic uses F#, a language ideally suited to machine learning applications in .NET. If you’re new to F#, this book will give you everything you need to get started. If you’re already familiar with F#, this is your chance to put the language into action in an exciting new context. In a series of fascinating projects, you’ll learn how to: Build an optical character recognition (OCR) system from scratch Code a spam filter that learns by example Use F#’s powerful type providers to interface with external resources (in this case, data analysis tools from the R programming language) Transform your data into informative features, and use them to make accurate predictions Find patterns in data when you don’t know what you’re looking for Predict numerical values using regression models Implement an intelligent game that learns how to play from experience Along the way, you’ll learn fundamental ideas that can be applied in all kinds of real-world contexts and industries, from advertising to finance, medicine, and scientific research. While some machine learning algorithms use fairly advanced mathematics, this book focuses on simple but effective approaches. If you enjoy hacking code and data, this book is for you.