- [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 …
- 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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