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@@ -6,17 +6,24 @@ Microsoft recently announced the Azure Cognitive Service, Personalizer, aimed at
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In this workshop you will learn the theory behind contextual bandits and how this applies to content personalization. We will walk you through setting up the service, writing your first application, and optimizing the policy using offline optimization.
3. Paste your endpoint into [line 34 of ./demo/demo.py](https://github.com/Azure-Samples/cognitive-services-personalizer-samples/blob/master/demos/workshop-demo/demo.py#L34)
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4. Paste your key into [line 35 of ./demo/demo.py](https://github.com/Azure-Samples/cognitive-services-personalizer-samples/blob/master/demos/workshop-demo/demo.py#L35)
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5. run `python ./demo/demo.py`
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1. Paste your endpoint into [line 34 of ./demo/demo.py](https://github.com/Azure-Samples/cognitive-services-personalizer-samples/blob/master/demos/workshop-demo/demo.py#L34)
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1. Paste your key into [line 35 of ./demo/demo.py](https://github.com/Azure-Samples/cognitive-services-personalizer-samples/blob/master/demos/workshop-demo/demo.py#L35)
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1. Change your Personalizer settings
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1. Go to your provisioned Personalizer instance
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1. Click the "Configuration" tab
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1. Change the "Reward wait time" to 5 seconds
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1. Change the "Model update frequency" to 30 seconds
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