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Develop Intelligent iOS Apps with Swift

- Understand Texts, Classify Sentiments, and Autodetect Answers in Text Using NLP

About Develop Intelligent iOS Apps with Swift

Chapter 1: Gentle Introduction to ML and NLP Chapter Goal: Present general ideas of ML and how NLP works ┬╖ Intro to ML ┬╖ Intro to NLP Chapter 2: Apple''s ML Tools Chapter Goal: Learn the tools that Apple provides for ML ┬╖ CoreML ┬╖ CreateML ┬╖ TuriCreate Chapter 3: Text Classification Chapter Goal: Learn the tools that Apple provides for ML ┬╖ Spam SMS classification ┬╖ Find the author of a writing ┬╖ TuriCreate Chapter 4: Natural Language Framework Chapter Goal: Learn iOS''s built in NLP capabilities ┬╖ Tokenization ┬╖ Classify nouns, verbs, and adjectives ┬╖ Detect people, places, and organizations in text Chapter 5: Find Answers to Questions in a Text Document Chapter Goal: Use BERT model to find the answer to a user''s question in a body of text. ┬╖ BERT model ┬╖ Text handling Chapter 6: Advanced Usages ┬╖ Convert NLP models from Keras to Core ML ┬╖ Convert NLP models from TensorFlow to Core ML

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  • Language:
  • English
  • ISBN:
  • 9781484264201
  • Binding:
  • Paperback
  • Pages:
  • 169
  • Published:
  • December 3, 2020
  • Edition:
  • 1
  • Dimensions:
  • 155x235x0 mm.
  • Weight:
  • 454 g.
Delivery: 1-2 weeks
Expected delivery: July 16, 2025

Description of Develop Intelligent iOS Apps with Swift

Chapter 1: Gentle Introduction to ML and NLP
Chapter Goal: Present general ideas of ML and how NLP works
┬╖ Intro to ML
┬╖ Intro to NLP
Chapter 2: Apple''s ML Tools
Chapter Goal: Learn the tools that Apple provides for ML
┬╖ CoreML
┬╖ CreateML
┬╖ TuriCreate
Chapter 3: Text Classification
Chapter Goal: Learn the tools that Apple provides for ML
┬╖ Spam SMS classification
┬╖ Find the author of a writing
┬╖ TuriCreate
Chapter 4: Natural Language Framework
Chapter Goal: Learn iOS''s built in NLP capabilities
┬╖ Tokenization
┬╖ Classify nouns, verbs, and adjectives
┬╖ Detect people, places, and organizations in text
Chapter 5: Find Answers to Questions in a Text Document
Chapter Goal: Use BERT model to find the answer to a user''s question in a body of text.
┬╖ BERT model
┬╖ Text handling
Chapter 6: Advanced Usages
┬╖ Convert NLP models from Keras to Core ML
┬╖ Convert NLP models from TensorFlow to Core ML

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