- [Kevin] This course has shown a small sample … of how you can use machine learning in your mobile apps … with a few different vendors. … There are a large variety of vendors and use cases … that you can consider in the machine learning space. … If you are looking to take this to the next level, … one way to do it is to create a bot, … perhaps using Watson Assistant, or Azure's Bot Service. … Bots can tie together a lot of different … machine learning offerings, natural language recognition, … speech to text, or even visual recognition, … if the bot allows the conversation … to include sending images, perhaps in the camera. … Another place to look is tying machine learning … to augmented reality, perhaps with Google's Core AR, … or Apple's ARKit. … Augmented reality tied with local model execution … to understand what the camera's looking … at can make a great combination. … Machine learning is a great area … and the possibilities of what you can do with it are large. … I expect for us to continue to see these technologies …
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
Views
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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: Next steps