- [Instructor] Now that we have created our model … and are happy with it, we can create a web service. … To do this, we're going to click on Setup Web Service … and you can see we have two types: … a predictive web service and a retraining web service. … The predictive web service takes inputs … and predicts the result; the retraining web service … is to feed real world results back into the model. … We want the one for predictions, so we'll click predictive. … And if for some reason that's not enabled for you, … if you run again, it should show up as enabled, … and you should be able to create the web service. … So we can see it modifying our experiment, … and adding a web service and it creates the predictive … experiment, so if you look to the top of the screen, … we now have two tabs, one for the training experiment, … which is what we created, … and one for the predictive experiment. … And this one is for our web service. … With our model already trained, we don't need to have …
Author
Released
3/21/2019- 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
Duration
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Introduction
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What you should know1m 1s
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Using the exercise files2m 36s
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1. Introduction to Machine Learning
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What is machine learning?2m 27s
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Required concepts2m 53s
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Training a model2m 14s
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ML frameworks2m 56s
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2. Server Models: IBM Watson
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Overview of Watson2m 1s
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Visual Recognition: Set up1m 41s
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Create a custom model3m 37s
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Install client SDK package3m 45s
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Run the client app3m 27s
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3. Server Models: Azure Machine Learning
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Custom Vision: Set up4m 25s
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Install client SDK package2m 27s
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Client tie to LUIS5m 16s
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Run the clent app2m 12s
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4. Client Models: Core ML
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Core ML overview2m 10s
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Run the client app1m 45s
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5. Understanding the Offerings
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Conclusion
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Next steps1m 40s
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Video: Machine Learning Studio: Publish model