- [Instructor] Let's talk about what you should know before taking this course. First and foremost, this course is geared towards Xamarin developers for both Android and iOS using the Xamarin forms framework. Native developers will also be able to benefit from many of the concepts presented here, but the examples are not in Object of C, Swift, Java or Kotlin. For Xamarin mobile developers, you should know the basics of how to get an app compiled and running in a simulator or emulator. This course was recorded on a Mac. If you do not have access to a Mac, you can still do everything other than the core ML chapter, but you will need to run the client Android project instead of the iOS one. No deep understanding of artificial intelligence or machine learning is required, but it is helpful to understand some of the cases where machine learning is being used in the world today.
- 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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