[{"_1":2,"_68":-5,"_69":-5},"loaderData",{"_3":4,"_38":39,"_66":-5,"_67":-5},"root",{"_5":-5,"_6":-5,"_7":8,"_22":23,"_24":25,"_26":27,"_30":31,"_36":37},"user","shoppingCartId","shoppingCart",{"_9":10,"_11":12,"_13":14,"_15":16,"_17":18,"_19":20,"_21":14},"id","no-cart","count",0,"free",true,"updatedAt","","paymentGateway","STRIPE","cartItems",[],"loading","locale","en","readerTheme","light","constants",{"_28":29},"paypalClientId","AX53Cwz8jR6rVVzzZiZNWWXl0dGagi-GZrjG-S3Ua14E5nrKMn7DxDQ730O4R8LusLPp49ALn6aRVaEy","publishers",{"_32":33,"_34":35},"companies",[],"universities",[],"needsLocaleCookieSync",false,"routes/_store+/_readers+/email_author.$slug/route",{"_40":41,"_65":-5},"book",{"_9":42,"_43":44,"_45":46,"_47":48,"_49":50,"_51":52},"Z2lkOi8vbGVhbnB1Yi9TdG9yZTo6Qm9va1Byb2R1Y3QvNzcyNDQ","title","Create ML Studio. Training custom models without Python: tabular, image, sound, and motion classifiers using Create ML in Swift.","state","published","contactAuthorMethod","email","aboutText","

Unlock the power of custom Machine Learning on Apple platforms without writing a single line of Python.

In Volume 5 of the Swift & AI Masterclass, developer and author Edgar Milvus dives deep into Create ML Studio, empowering you to train, evaluate, and deploy bespoke AI models using the language you love: Swift.

While the AI world often feels dominated by Python-centric tools, Apple has built a world-class framework that allows Swift developers to handle the entire ML lifecycle—from raw data ingestion to production deployment—within the Apple ecosystem. This book is your definitive guide to mastering that workflow.

Inside this volume, you will find:

Comprehensive Classifier Training: Step-by-step guides to building custom Image, Sound, Text, and Motion classifiers tailored to your app's specific needs.
Modern Swift 6 Integration: Learn how to orchestrate resource-intensive training tasks using async/await, Actors, and the @Observable macro for a responsive and thread-safe experience.
Advanced Feature Engineering: Master MLDataTable to clean, transform, and enrich your data, ensuring your models learn from the highest quality inputs.
Model Quality & Performance: Techniques for data augmentation, hyperparameter tuning, and k-fold cross-validation to build robust models that generalize to the real world.
Professional MLOps: Expert strategies for model versioning, signing .mlpackage files, and setting up CI/CD pipelines for automated model updates.
Real-World SwiftUI Integration: Practical examples of bringing your custom models to life in interactive applications.

Whether you are building a plant identifier, a real-time gesture recognizer for accessibility, or a personalized recommendation engine, this book provides the theoretical foundations and the production-ready code you need.

Stop relying on generic models and start building custom intelligence. Master Create ML with Swift today!

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