iOS App Development: Core ML

This course provides an introduction to the Core ML framework, and the advantages of using machine learning models, computer vision, and natural language processing in modern apps.

Introduction

• Welcome
• What you should know
• Using the exercise files

1. Machine Learning Overview

• What is machine learning?
• What is Core ML?
• What is Vision and NLP?

2. Core ML: Basics and First Project

• Existing Core ML models
• From name to gender: Your first ML app
• Add a model and prepare your inputs
• Get your first predictions

3. Convert Models

• Prepare a virtual Python environment
• Install Python dependencies
• Convert an existing machine learning model for Core ML

4. The Vision Framework

• Classify images and detect rectangles
• A quick project tour and AVFoundation
• Set up vision and rectangle detection
• Draw rectangles on the camera image
• A Core ML model for image classification
• Let's classify what the camera sees

5. Natural Language Processing (NLP)

• See NSLinguisticTagger in action
• A diary app: Search without NLP
• An NLP enhanced search
• Lemmatization in detail
• Implement an NLP enhanced filter logic

Conclusion

• Next steps