Mastering Machine Learning in iOS with SwiftUI: From Basics to Advanced
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- Discussions
- Introduction
- Chapter 1: Introduction to Machine Learning and Its Relationship to AI
- Chapter 2: Machine Learning Techniques
- Chapter 3: Apple’s Machine Learning Ecosystem
- Chapter 4: Create ML and Core ML
- Chapter 5: CreateML and Transfer Learning
- Chapter 6: Getting Started with Create ML
- Chapter 7: VisionFeaturePrint_Screen
- Chapter 8: Create ML Project Interface and Model Training
- Chapter 9: Improving Model Performance
- Chapter 10: Vision Framework with Core ML
- Chapter 11: Using Machine Learning Model with Core ML
- Chapter 13: Using Existing ML Model in Apps
- Chapter 12: Steps to Train Machine Learning Models
- Chapter 14: Object Detection in Create ML - Data Prep
- Chapter 15: Object Detection in Create ML - Model Training
- Chapter 16: Object Detection in Create ML - Using Model
- Chapter 17: Style Transfer Technique
- Chapter 18: Using Style Transfer Technique in SwiftUI App
- Chapter 19: Hand Pose Classification
- Chapter 20: Rock-Paper-Scissor App
- Chapter 21: Action Classification Model using Create ML
- Chapter 22: Using Action Classifier Model in an App
- Chapter 23: Activity Classification using Create ML
- Chapter 24: Using Activity Classification Model in SwiftUI App
- Chapter 25: Collecting Activity Motion Data using iPhone
- Chapter 26: Sound Classification in Create ML
- Chapter 27: Animal Sound Classification in SwiftUI
- Chapter 28: Built-in Sound Classification with Sound Analysis framework
- Chapter 29: Text Classification in Create ML
- Chapter 30: Word Tagging in Create ML
- Chapter 31: Tabular Classification
- Chapter 32: Tabular Regression
- Chapter 33: Recommendations Model using Create ML
- Chapter 34: Understanding Training Data
- Chapter 35: Thank You for Reading!

Mastering Machine Learning in iOS with SwiftUI: From Basics to Advanced

This hands-on guide covers Create ML, Core ML, Vision, helping you build AI-powered apps effortlessly. Learn to train custom ML models, integrate Apple’s AI frameworks, and optimize performance for real-world applications. With 10+ projects and step-by-step guidance, gain real experience in AI-driven App development. This book equips you with the skills to create intelligent, AI apps. Start your ML journey today!