{"product_id":"develop-intelligent-ios-apps-with-swift-understand-texts-classify-sentiments-and-autodetect-answers-in-text-using-nlp-paperback","title":"Develop Intelligent IOS Apps with Swift: Understand Texts, Classify Sentiments, and Autodetect Answers in Text Using Nlp - 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\u003eÖzgür Sahin\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eBuild smart apps capable of analyzing language and performing language-specific tasks, such as script identification, tokenization, lemmatization, part-of-speech tagging, and named entity recognition. This book will get you started in the world of building literate, language understanding apps. Cutting edge ML tools from Apple like CreateML, CoreML, and TuriCreate will become natural parts of your development toolbox as you construct intelligent, text-based apps.\u003c\/p\u003e\u003cul\u003e \u003cp\u003eYou'll explore a wide range of text processing topics, including reprocessing text, training custom machine learning models, converting state-of-the-art NLP models to CoreML from Keras, evaluating models, and deploying models to your iOS apps. You'll develop sample apps to learn by doing. These include apps with functions for detecting spam SMS, extracting text with OCR, generating sentences with AI, categorizing the sentiment of text, developing intelligent apps that read text and answers questions, converting speech to text, detecting parts of speech, and identifying people, places, and organizations in text.\u003c\/p\u003e \u003cp\u003eSmart app development involves mainly teaching apps to learn and understand input without explicit prompts from their users. These apps understand what is in images, predict future behavior, and analyze texts. Thanks to natural language processing, iOS can auto-fix typos and Siri can understand what you're saying. With Apple's own easy-to-use tool, Create ML, they've brought accessible ML capabilities to developers. \u003c\/p\u003e \u003cp\u003e\u003ci\u003eDevelop Intelligent iOS Apps with Swift\u003c\/i\u003e will show you how to easily create text classification and numerous other kinds of models.\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003eWhat You'll Learn\u003c\/p\u003e \u003cul\u003e Incorporate Apple tools such as CreateML and CoreML into your Swift toolbox \u003cli\u003eConvert state-of-the-art NLP models to CoreML from Keras \u003c\/li\u003e \u003cli\u003eTeach your apps to predict words while users are typing with smart auto-complete \u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003eWho This Book Is For\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003eNovice developers and programmers who wish to implement natural language processing in their iOS applications and those who want to learn Apple's native ML tools.\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e\n\u003cbr\u003e \u003c\/ul\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003eBuild smart apps capable of analyzing language and performing language-specific tasks, such as script identification, tokenization, lemmatization, part-of-speech tagging, and named entity recognition. This book will get you started in the world of building literate, language understanding apps. Cutting edge ML tools from Apple like CreateML, CoreML, and TuriCreate will become natural parts of your development toolbox as you construct intelligent, text-based apps.\u003c\/p\u003e\u003cp\u003eYou'll explore a wide range of text processing topics, including reprocessing text, training custom machine learning models, converting state-of-the-art NLP models to CoreML from Keras, evaluating models, and deploying models to your iOS apps. You'll develop sample apps to learn by doing. These include apps with functions for detecting spam SMS, developing smart auto-complete that predicts words while typing, categorizing the sentiment of text, identifying an author from his\/her writings, developing intelligent apps that read text and answers questions, converting speech to text, detecting parts of speech, and identifying people, places, and organizations in text.\u003c\/p\u003e\u003cp\u003eSmart app development involves mainly teaching apps to learn and understand input without explicit prompts from their users. These apps understand what is in images, predict future behavior, and analyze texts. Thanks to natural language processing, iOS can auto-fix typos and Siri can understand what you're saying. With Apple's own easy-to-use tool, Create ML, they've brought accesible ML capabilities to developers. \u003c\/p\u003e\u003cp\u003e\u003ci\u003eDevelop Intelligent iOS Apps with Swift\u003c\/i\u003e will show you how to easily create text classification and numerous other kinds of models.\u003c\/p\u003e\u003cp\u003eYou will: \u003cbr\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eIncorporate Apple tools such as CreateML and CoreML into your Swift toolbox\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eConvert state-of-the-art NLP models to CoreML from Keras and TensorFlow\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eTeach your apps to predict words while users are typing with smart auto-complete \u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eÖzgür Sahin\u003c\/b\u003e has been developing iOS software since 2012. He holds a bachelors degree in computer engineering and a masters in deep learning. Currently, he serves as CTO for Iceberg Tech, an AI solutions startup. He develops iOS apps focused on AR and Core ML using face recognition and demographic detection capabilities. He writes iOS machine learning tutorials for Fritz AI and also runs a local iOS machine learning mail group to teach iOS ML tools to Turkey. In his free time, Özgür develops deep learning based iOS apps.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 169\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.39 x 9.21 x 6.14 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e December 04, 2020\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52493563887923,"sku":"9781484264201","price":66.38,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0300\/5595\/6612\/files\/L3FDS3BvSjVudm1NU2JjKzdXSXV2QT09.webp?v=1759957102","url":"https:\/\/www.vysn.com\/en-ca\/products\/develop-intelligent-ios-apps-with-swift-understand-texts-classify-sentiments-and-autodetect-answers-in-text-using-nlp-paperback","provider":"VYSN","version":"1.0","type":"link"}