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, into mobile devices, most of which can be used in multi-cloud settings. Focusing on Apple's ML services, Machine Learning for iOS Developers;
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Implement machine learning models in your iOS applications. This short work begins by reviewing the primary principals of machine learning;
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execute style transfer on images Who this book is forMachine Learning with Core ML is for you if you are an intermediate iOS developer interested;
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Boost your iOS developer career by learning from real-life examples and start writing code for one of the most successful platforms ever.;
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applications using intelligent programming. MatConvNet Deep Learning and iOS Mobile App Design for Pattern Recognition: Emerging Research and;
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applications using intelligent programming. MatConvNet Deep Learning and iOS Mobile App Design for Pattern Recognition: Emerging Research and;
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This book is intended for iOS developers who are curious to learn about iBeacon and want to start building applications for iOS. You will;
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Core Data, networking, and the Combine framework Extend your iOS apps by adding augmented reality and machine learning capabilities, widgets;
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extensions and performance Extend your iOS apps by adding augmented reality and machine learning capabilities Book DescriptionThe iOS development;
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Store, there are plenty of development opportunities for professional iOS developers. This Learning Path is a direct route to iOS development;
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mechanisms for process and deployment. Seasoned database professionals looking to make the leap into machine learning as a growth path will find much;
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Bennett and Brad Lees are full-time professional iOS developers and have developed a broad spectrum of apps for Fortune 500 companies. The authors;
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Python makes machine learning easy for beginners and experienced developers With computing power increasing exponentially and costs;
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. Bringing together machine learning, cognitive science and other aspects of artificial intelligence to help provide a roadmap for future research on;
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This book is a technical guide for Arduino and iOS developers who have a basic knowledge of the two platforms but want to learn how to;
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This book primarily targets Python developers who want to learn and use Python's machine learning capabilities and gain valuable insights;
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full-time professional iOS developers and have developed a broad spectrum of apps for Fortune 500 companies. The authors have taken their;
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Dig deep into the data with a hands-on guide to machine learning with updated examples and more! Machine Learning: Hands-On for Developers;
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Dig deep into the data with a hands-on guide to machine learningMachine Learning: Hands-On for Developers and Technical;
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make the best sense for the end user. This book shows you how to migrate from Storyboards to SwiftUI to design dynamic and engaging UIs for iOS;
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learning system Discover how Python offers multiple algorithms for modern machine learning systems Explore key Python machine learning libraries;
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, trends, and best practices. What You'll Learn Use the JavaScript framework for ML Build machine learning applications for the web;
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Use ensemble learning techniques and models to improve your machine learning results. Ensemble Learning for AI Developers starts you at;
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Migrating to Android for iOS Developers gives you-as an experienced native iOS app developer-the skills to learn native Android apps;
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manner * Implement Machine Learning in the most practical way Who This Book Is For This book will appeal to any developer who wants to;
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Enterprise, Spatial Maps, and machine learning for advanced visualization and analytics. The machine learning material focuses on learning;
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