- [Instructor] There are two basic architectures … mobile applications use to work with machine learning. … The first is the server side architecture. … In this case all of the work is done on the server, … from creating the model to live evaluation of the results. … The typical method to communicate with a server side model … is there is a web service that the application … to send information they want evaluated … and get a result back. … The information to be evaluated may be some text, an image, … a recording, almost anything. … It is normally the job of the application … to find out if the result is correct … and potentially use a web service end point … to give feedback on the results accuracy … with possible model updates happening on the server. … If that happens, the next request for evaluation … could be using updated, smarter model. … The second architecture is the client side model. … Like the server side architecture, … the work of creating and processing any updates to the model …
- 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
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
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