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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 :
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.



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 : 2020-03-04

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 2020-03-04 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.



Mastering Ios 18 Development


Mastering Ios 18 Development
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Author : Avi Tsadok
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-11-08

Mastering Ios 18 Development written by Avi Tsadok 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 2024-11-08 with Computers categories.


Elevate your iOS development skills with this comprehensive iOS 18 guide covering the latest changes and improvements in iOS SDK and Swift, while mastering practical techniques to become an exceptional iOS developer Key Features Stay up to date with the latest changes and improvements in iOS SDK and Swift programming language Learn how you can improve user experience by focusing on customizing components and animations Get to grips with advanced topics such as SwiftData and high-efficiency applications through an in-depth discussion Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionEmbark on a comprehensive iOS 18 development journey with Avi Tsadok, a veteran iOS developer and author of 4 books and over 40 tutorials and articles. A recognized public speaker, Avi has a knack for demystifying complex concepts and brings unparalleled expertise to the forefront of iOS 18 development education. This guide focuses on iOS 18 advancements, equipping developers with tools to maximize its potential. This book covers essential topics for seasoned developers, including Swift, SwiftUI, Xcode foundations, and the latest iOS SDK updates. You’ll get to grips with optimizing performance and understanding advanced architectural paradigms. By implementing the newest iOS updates, you’ll also explore intricate animation methods and harness a new framework, SwiftData that replaces Core Data for having persistent storage. The book builds your proficiency in advanced networking with URLSession and shows you how to conjure stunning visuals and adopt sophisticated testing techniques. You'll explore the world of machine learning with Apple’s Core ML diving into built-in frameworks like NLP, vision, and sound analysis to train and integrate your own models into iOS apps. By the end of the book, you'll possess skills to build exceptional apps, excel in advanced roles, and confidently tackle iOS development challenges.What you will learn Develop functional iOS applications on the iOS platform Build intricate custom animations and UI elements Master data handling and persistence in iOS apps Utilize Combine for efficient data management Harness the power of the neural engine through CoreML Explore architectures and streamline programming with Swift Macros Improve engagement by adding Widgets and App Intents Who this book is for If you are an experienced iOS developer looking to enhance your mobile development skills, create exceptional applications, and excel in advanced positions, this book is designed for you. To derive maximum benefit from this book and ensure a strong understanding of the advanced content, it is recommended that you have a solid foundation in Swift, SwiftUI, and Xcode.



Intelligent Mobile Projects With Tensorflow


Intelligent Mobile Projects With Tensorflow
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Author : Jeff Tang
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-05-22

Intelligent Mobile Projects With Tensorflow written by Jeff Tang 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 2018-05-22 with Computers categories.


Create Deep Learning and Reinforcement Learning apps for multiple platforms with TensorFlow Key Features Build TensorFlow-powered AI applications for mobile and embedded devices Learn modern AI topics such as computer vision, NLP, and deep reinforcement learning Get practical insights and exclusive working code not available in the TensorFlow documentation Book Description As a developer, you always need to keep an eye out and be ready for what will be trending soon, while also focusing on what's trending currently. So, what's better than learning about the integration of the best of both worlds, the present and the future? Artificial Intelligence (AI) is widely regarded as the next big thing after mobile, and Google's TensorFlow is the leading open source machine learning framework, the hottest branch of AI. This book covers more than 10 complete iOS, Android, and Raspberry Pi apps powered by TensorFlow and built from scratch, running all kinds of cool TensorFlow models offline on-device: from computer vision, speech and language processing to generative adversarial networks and AlphaZero-like deep reinforcement learning. You’ll learn how to use or retrain existing TensorFlow models, build your own models, and develop intelligent mobile apps running those TensorFlow models. You'll learn how to quickly build such apps with step-by-step tutorials and how to avoid many pitfalls in the process with lots of hard-earned troubleshooting tips. What you will learn Classify images with transfer learning Detect objects and their locations Transform pictures with amazing art styles Understand simple speech commands Describe images in natural language Recognize drawing with Convolutional Neural Network and Long Short-Term Memory Predict stock price with Recurrent Neural Network in TensorFlow and Keras Generate and enhance images with generative adversarial networks Build AlphaZero-like mobile game app in TensorFlow and Keras Use TensorFlow Lite and Core ML on mobile Develop TensorFlow apps on Raspberry Pi that can move, see, listen, speak, and learn Who this book is for If you're an iOS/Android developer interested in building and retraining others' TensorFlow models and running them in your mobile apps, or if you're a TensorFlow developer and want to run your new and amazing TensorFlow models on mobile devices, this book is for you. You'll also benefit from this book if you're interested in TensorFlow Lite, Core ML, or TensorFlow on Raspberry Pi.



Mastering Ios Development Swift And Mobile App Leadership


Mastering Ios Development Swift And Mobile App Leadership
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Author : JASWANTH ALAHARI REETA MISHRA
language : en
Publisher: DeepMisti Publication
Release Date : 2024-12-22

Mastering Ios Development Swift And Mobile App Leadership written by JASWANTH ALAHARI REETA MISHRA and has been published by DeepMisti Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-22 with Computers categories.


In the ever-evolving landscape of mobile technology, mastering the art of iOS development has become a critical skill for those striving to lead in the digital age. Mastering iOS Development: Swift and Mobile App Leadership is designed to serve as both a technical guide and a strategic resource for developers and leaders aiming to excel in the competitive world of mobile app development. Our goal is to empower readers with not only the knowledge to build outstanding iOS applications but also the leadership acumen to drive innovation and success in this dynamic field. This book offers a comprehensive journey through the principles, tools, and practices that define excellence in iOS development. From foundational concepts in Swift programming to advanced techniques for app optimization and user experience design, we aim to provide a well-rounded resource that caters to both budding developers and seasoned professionals. Beyond technical expertise, we explore essential aspects of leadership, including project management, team collaboration, and scaling app development strategies in a fast-paced market. In crafting this book, we have drawn on the latest advancements in iOS development and integrated insights from industry leaders. Each chapter is designed to provide a balance of theoretical understanding and practical application, covering topics such as mastering Swift, building user-friendly interfaces, integrating APIs, and optimizing app performance. Additionally, we delve into the evolving role of mobile app leaders, discussing strategies to foster innovation, align development goals with business objectives, and navigate challenges in a rapidly changing technological environment. We hope this book will serve as an invaluable companion for those passionate about creating exceptional iOS applications and leading transformative projects. Whether you are a developer seeking to refine your skills or a leader looking to inspire your team, we believe the insights shared here will equip you to thrive in the exciting realm of iOS development. Thank you for joining us on this journey. Authors



Ios 12 App Development Essentials


Ios 12 App Development Essentials
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Author : Neil Smyth
language : en
Publisher: Payload Media, Inc.
Release Date : 2018-10-31

Ios 12 App Development Essentials written by Neil Smyth and has been published by Payload Media, Inc. this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-31 with Computers categories.


iOS 12 App Development Essentials, the latest edition of this popular book series, has now been fully updated for the iOS 12 SDK, Xcode 10 and the Swift 4 programming language. Beginning with the basics, this book provides an outline of the steps necessary to set up an iOS development environment. An introduction to the architecture of iOS 12 and programming in Swift 4 is provided, followed by an in-depth look at the design of iOS applications and user interfaces. More advanced topics such as file handling, database management, graphics drawing and animation are also covered, as are touch screen handling, gesture recognition, multitasking, location management, local notifications, camera access and video playback support. Other features are also covered including Auto Layout, local map search, user interface animation using UIKit dynamics, Siri integration, iMessage app development, CloudKit sharing and biometric authentication. Additional features of iOS development using Xcode are also covered, including Swift playgrounds, universal user interface design using size classes, app extensions, Interface Builder Live Views, embedded frameworks, collection and stack layouts and CloudKit data storage in addition to drag and drop integration and the document browser. The key new features of iOS 12 and Xcode 10 are also covered in detail, including Siri shortcuts and the new iOS machine learning features. The aim of this book, therefore, is to teach you the skills necessary to build your own apps for iOS 12. Assuming you are ready to download the iOS 12 SDK and Xcode 10, have an Intel-based Mac and ideas for some apps to develop, you are ready to get started.



Machine Learning For Ios Developers


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

Machine Learning For Ios Developers written by Daniel Autenrieth 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.