- [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.
Author
Released
3/21/2019- 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
Duration
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Introduction
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What you should know1m 1s
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Using the exercise files2m 36s
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1. Introduction to Machine Learning
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What is machine learning?2m 27s
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Required concepts2m 53s
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Training a model2m 14s
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ML frameworks2m 56s
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2. Server Models: IBM Watson
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Overview of Watson2m 1s
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Visual Recognition: Set up1m 41s
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Create a custom model3m 37s
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Install client SDK package3m 45s
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Run the client app3m 27s
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3. Server Models: Azure Machine Learning
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Custom Vision: Set up4m 25s
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Install client SDK package2m 27s
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Client tie to LUIS5m 16s
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Run the clent app2m 12s
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4. Client Models: Core ML
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Core ML overview2m 10s
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Run the client app1m 45s
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5. Understanding the Offerings
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Conclusion
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Next steps1m 40s
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Video: What you should know