- [Instructor] With our Azure services set up, … we can now tie them into our client application. … To do that, we're going to go into the exercise files … folder on our desktop … and go to client project start, right click on it, … and copy it. … And we'll close that window and paste it to the desktop. … Now we'll rename that to Azure project. … And open the folder and double click … on the ML sample solution to open it up in Visual Studio. … We do want to make sure all the NuGet packages are restored … so we're going to right click on ML sample solutions … and go restore NuGet packages. … When that's done, we want to import a few NuGet packages … to make sure connecting to our services is easy. … There are packages available from LUIS … and Custom Vision. … So to start, we're going to open up the ML sample project … and right click on dependencies and go to add packages. … In the search box, we're going to type in Microsoft, … Azure, cognitive services, … and LUIS runtime. … And here it is, so we'll select it …
- 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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