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Develop intelligent iOS apps with Sw...

Sahin, Ozgur.

Develop intelligent iOS apps with Swiftunderstand texts, classify sentiments, and autodetect answers in text using NLP /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Develop intelligent iOS apps with Swiftby Ozgur Sahin.
Reminder of title:	understand texts, classify sentiments, and autodetect answers in text using NLP /
Author:	Sahin, Ozgur.
Published:	Berkeley, CA :Apress :2021.
Description:	xiii, 169 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Apple computer.
Online resource:	https://doi.org/10.1007/978-1-4842-6421-8
ISBN:	9781484264218$q(electronic bk.)

Develop intelligent iOS apps with Swiftunderstand texts, classify sentiments, and autodetect answers in text using NLP /
Sahin, Ozgur.

Develop intelligent iOS apps with Swiftunderstand texts, classify sentiments, and autodetect answers in text using NLP /[electronic resource] :by Ozgur Sahin. - Berkeley, CA :Apress :2021. - xiii, 169 p. :ill., digital ;24 cm.

Chapter 1: Gentle Introduction to ML and NLP -- Chapter 2: Introduction to Apple ML Tools -- Chapter 3: Text Classification -- Chapter 4: Text Generation -- Chapter 5: Find Answers in a Text Document -- Chapter 6: Text Summarization -- Chapter 7: Integrating Keras Models.

Build 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. You'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. Smart 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. Develop Intelligent iOS Apps with Swift will show you how to easily create text classification and numerous other kinds of models. What You'll Learn Incorporate Apple tools such as CreateML and CoreML into your Swift toolbox Convert state-of-the-art NLP models to CoreML from Keras Teach your apps to predict words while users are typing with smart auto-complete Who This Book Is For Novice 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.

ISBN: 9781484264218$q(electronic bk.)

Standard No.: 10.1007/978-1-4842-6421-8doiSubjects--Topical Terms:

497871
Apple computer.

LC Class. No.: QA76.774.I67

Dewey Class. No.: 004.165

Develop intelligent iOS apps with Swiftunderstand texts, classify sentiments, and autodetect answers in text using NLP /
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505 0 $a Chapter 1: Gentle Introduction to ML and NLP -- Chapter 2: Introduction to Apple ML Tools -- Chapter 3: Text Classification -- Chapter 4: Text Generation -- Chapter 5: Find Answers in a Text Document -- Chapter 6: Text Summarization -- Chapter 7: Integrating Keras Models.
520 $a Build 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. You'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. Smart 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. Develop Intelligent iOS Apps with Swift will show you how to easily create text classification and numerous other kinds of models. What You'll Learn Incorporate Apple tools such as CreateML and CoreML into your Swift toolbox Convert state-of-the-art NLP models to CoreML from Keras Teach your apps to predict words while users are typing with smart auto-complete Who This Book Is For Novice 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.
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