- [Instructor] Core ML was released with iOS 11 … in September of 2017 as Apple's first foray … into allowing client-side machine learning in iOS. … In normal Apple fashion, Core ML is baked right into iOS, … but only iOS. … It cannot be used in a competing platforms application … like an Android app. … Models initially could only be built elsewhere, … imported and used in an app. … For example, a cafe model could be created server-side, … and then used with Core ML. … With the release of Core ML 2, … Apple has included some limited ability … to create Core ML-specific models … in OS 10. … If the model needs reinforcement learning, … that would need to happen server-side … in an updated model redeployed … in a new version of the application. … With the release of iOS 12 in September of 2018, … Apple updated Core ML as well. … One of the largest enhancements was the ability … to create our own Core Machine Learning models directly. … The types of models that we can create … are image classification, natural language recognition, …
- Defining machine learning
- Training a machine learning model
- Comparing machine learning frameworks
- Using IBM Watson for mobile machine learning
- Using Azure Machine Learning for speech and image recognition
- Training Core ML models
- Comparing client-side and server-side models
Skill Level Beginner
Xamarin and Android Studio: Material Designwith Kevin Ford1h 47m Intermediate
Machine Learning for iOS Developerswith Brian Advent1h 25m Advanced
1. Introduction to Machine Learning
2. Server Models: IBM Watson
3. Server Models: Azure Machine Learning
4. Client Models: Core ML
5. Understanding the Offerings
Next steps1m 40s
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