- Our last task that we are going to do … with Azure's Machine Learning … is to create a model from a data file … to protect the budget vote based on other votes … by the members of the 1984 House of Representatives. … For this, we are going to use Azure Machine Learning Studio … back in the Azure Portal. … To get started, I'm going to click on Create a Resource. … And we're going to search for Azure Machine Learning Studio. … Now we can get rid of the word Azure in the front. … So we'll find it. … And we want the Workspace, … so I'll click on the Workspace version. … And then press create. … All right. … And we're going to name this … LinkedInMachineLearningWorkspace. … And the description, we're going to leave it … Visual Studio Premium. … And the resource group, … we're going to choose the one we created earlier. … LinkedIn Training. … And on the pricing tier, we'll click on that. … And select our DEVTEST Standard. … This is the free pricing tier. … We get to create on of those. … So we'll select that. …
- 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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