- [Instructor] Now that we have our payload … put together, we're going to use JSONConvert to convert that … into a string, so we're just going to do var and payload, … and that's going to equal JSONConvert, … and let's scroll this up a little so we can see … what's going on and we'll use SerializeObject … and we're going to serialize our scoreRequest, … and we'll create a byteArray 'cause we want to take our string … that's the payload and put it into a byteArray, … and we're going to write that eventually … to our stream and our request. … So we'll go byte, make that an array call it byteArray … and that's going to equal Encoding … and we're going to use UTF8, and GetBytes … and we'll put in that payload, that's the string. … I'm going to set the request content length … equal to the length of the byteArray. … And we'll grab that stream out of the request … so it's var dataStream equals the request GetRequestStream … and into the dataStream we are going to write our byteArray. … We're going to start on position zero …
- 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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