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Intro
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APPLE ML JOURNAL
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WHAT IS MACHINE LEARNING?
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TRAINING & INFERENCE
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DEEP LEARNING?
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IS IT HARD / A LOT OF WORK?
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VISION FRAMEWORK
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READY-TO-USE MODELS
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CORE ML CONVERTERS
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TRANSFER LEARNING
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DATA AUGMENTATION
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CREATE ML
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VALIDATION VS TEST
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TEXT CLASSIFIER
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TURI CREATE TASKS
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TRY IT!
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MACHINE LEARNING BOOK!
Description:
Discover how to incorporate machine learning into your iOS apps using Apple's Create ML in this 22-minute conference talk from try! Swift NYC 2018. Learn the basics of machine learning, including training and inference, deep learning, and transfer learning. Explore the Vision framework, ready-to-use models, and Core ML converters. Gain hands-on experience with Create ML for tasks like text classification and image recognition, all within the familiar Xcode and Swift environment. Compare Create ML with Turi Create in Python, and get tips on exploring more advanced ML tools like Keras and scikit-learn. Perfect for developers looking to add AI capabilities to their apps without extensive math or Python knowledge.

Getting Started with Apple ML

try! Swift Conference
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