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