Learn how to harness machine learning in your iOS apps!

Machine Learning (ML) is a discipline within Artificial Intelligence (AI) that enables computers to learn patterns from data and use these patterns to categorize and predict information reliably and quickly without being explicitly programmed. The Apple iOS Software Development Kit (SDK) includes the Core ML framework that allows developers to integrate ML services into both mobile and desktop applications. Assuming no prior experience in the field, Machine Learning for iOS Developers covers building machine learning models with Apple's new Create ML app, as well as building models using popular Python libraries such as NumPy, Pandas, Scikit-learn and Keras. The book then teaches you how to integrate these models in iOS applications using Apple's Core ML framework and the Core ML tools library. Step-by-step guidance, hands-on activities, real-world scenarios, and downloadable source code examples make Machine Learning for iOS Developers a must-have resource for anyone wishing to learn the concepts and techniques needed to be a successful Apple iOS Machine Learning practitioner.

This practical, clearly-written guide shows how to:

• Understand ML data collection, preprocessing, and feature engineering.
• Learn fundamental machine learning algorithms.
• Create machine learning models with the new CreateML App.
• Create machine learning models with Scikit-learn and CoreML tools.
• Integrate Core ML models in iOS Applications.
• Use pre-trained machine learning models.
• Create a deep learning network from scratch with Keras and use it in an iOS app.
• Create decision trees and random forest models.