{"product_id":"machine-learning-for-ios-developers-paperback-1","title":"Machine Learning for IOS Developers - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eAbhishek Mishra\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eHarness 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 \u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eMachine 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, \u003ci\u003eMachine Learning for iOS Developers \u003c\/i\u003eis an up-to-date introduction to the field, instructing readers to implement machine learning in iOS applications.\u003c\/p\u003e \u003cp\u003eAssuming 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: \u003c\/p\u003e \u003cul\u003e \u003cli\u003eUnderstand the theoretical concepts and practical applications of machine learning used in predictive data analytics\u003c\/li\u003e \u003cli\u003eBuild, deploy, and maintain ML systems for tasks such as model validation, optimization, scalability, and real-time streaming\u003c\/li\u003e \u003cli\u003eDevelop skills in data acquisition and modeling, classification, and regression.\u003c\/li\u003e \u003cli\u003eCompare traditional vs. ML approaches, and machine learning on handsets vs. machine learning as a service (MLaaS)\u003c\/li\u003e \u003cli\u003eImplement decision tree based models, an instance-based machine learning system, and integrate Scikit-learn \u0026amp; Keras models with CoreML\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e\u003ci\u003eMachine Learning for iOS Developers\u003c\/i\u003e is a must-have resource software engineers and mobile solutions architects wishing to learn ML concepts and implement machine learning on iOS Apps.\u003c\/p\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eLearn how to harness machine learning in your iOS apps!\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003eMachine Learning (ML) is a discipline within Artificial Intelligence (AI) that enables computers to learn patterns from data and use these patterns to categorize and predict information reliably and quickly without being explicitly programmed. The Apple iOS Software Development Kit (SDK) includes the Core ML framework that allows developers to integrate ML services into both mobile and desktop applications. Assuming no prior experience in the field, \u003ci\u003eMachine Learning for iOS Developers\u003c\/i\u003e covers building machine learning models with Apple's new Create ML app, as well as building models using popular Python libraries such as NumPy, Pandas, Scikit-learn and Keras. The book then teaches you how to integrate these models in iOS applications using Apple's Core ML framework and the Core ML tools library. Step-by-step guidance, hands-on activities, real-world scenarios, and downloadable source code examples make \u003ci\u003eMachine Learning for iOS Developers\u003c\/i\u003e a must-have resource for anyone wishing to learn the concepts and techniques needed to be a successful Apple iOS Machine Learning practitioner. \u003c\/p\u003e\u003cp\u003eThis practical, clearly-written guide shows how to: \u003c\/p\u003e\u003cul\u003e \u003cli\u003e\u003cb\u003eUnderstand ML data collection, preprocessing, and feature engineering.\u003c\/b\u003e\u003c\/li\u003e \u003cli\u003e\u003cb\u003eLearn fundamental machine learning algorithms.\u003c\/b\u003e\u003c\/li\u003e \u003cli\u003e\u003cb\u003eCreate machine learning models with the new CreateML App.\u003c\/b\u003e\u003c\/li\u003e \u003cli\u003e\u003cb\u003eCreate machine learning models with Scikit-learn and CoreML tools.\u003c\/b\u003e\u003c\/li\u003e \u003cli\u003e\u003cb\u003eIntegrate Core ML models in iOS Applications.\u003c\/b\u003e\u003c\/li\u003e \u003cli\u003e\u003cb\u003eUse pre-trained machine learning models.\u003c\/b\u003e\u003c\/li\u003e \u003cli\u003e\u003cb\u003eCreate a deep learning network from scratch with Keras and use it in an iOS app.\u003c\/b\u003e\u003c\/li\u003e \u003cli\u003e\u003cb\u003eCreate decision trees and random forest models.\u003c\/b\u003e\u003c\/li\u003e \u003c\/ul\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eAbhishek Mishra\u003c\/b\u003e has more than 19 years of experience across a broad range of mobile and enterprise technologies. He consults as a security and fraud solution architect with Lloyds Banking group PLC in London. He is the author of Machine Learning on the AWS Cloud, \u003ci\u003eAmazon Web Services for Mobile Developers\u003c\/i\u003e, iOS Code Testing, and Swift iOS: 24-Hour Trainer.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 336\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.8 x 9.1 x 7.6 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e March 04, 2020\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":47212084461817,"sku":"9781119602873","price":50.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0789\/2782\/3097\/files\/Wk5JQ0RFazZsTjdIalkrQkE0bCtiQT09_d91a579e-6040-4c36-b9e8-3a7997dcf99e.webp?v=1768088000","url":"https:\/\/bookscloud.io\/products\/machine-learning-for-ios-developers-paperback-1","provider":"BooksCloud Book Dropshipping","version":"1.0","type":"link"}