- [Instructor] With the Request Content token in place, … we are ready to call the service. … So we're going to get returned in HTP Web Response. … And we're just going to call that variable Response. … Now that's going to be equal to, … and we're going to direct cast that in. … And it's an asynchronous call so we'll await it. … And that's our request. … Get response Async. … Alright, and as before, we're going to check to see … what the status code is on the response. … And if it's okay, … we're going to continue evaluating what we got back, … otherwise we're just going to fall through. … So we need to read the value of the response, … so we're going to use a using statement for that. … And that's going to be a stream reader. … And into that, we're going to pass in the response, … GetResponseStream. … And then we can get our prediction text out of that. … And this is going to be the text version of a JSON object. … We'll read to the end, get the entire string out … and get rid of that extra equal statement. …
- 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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