Coming soon
1) Use Azure Functions to pull the game data and store it in the Azure blob.
2) Use Azure Machine Learning Studio to create the pipeline to automatically prepare and data and train the model.
3) Use Azure machine learning studio to deploy the model as a real-time scoring service on Azure Kubernetes Service (AKS)
4) Automatically retrain the model on newer data and deploy the new model if the new model scores better than the previous.
1) Use Azure Functions to pull the game data and store it in the Azure blob.
2) Use Azure Machine Learning Studio to create the pipeline to automatically prepare and data and train the model.
3) Use Azure machine learning studio to deploy the model as a real-time scoring service on Azure Kubernetes Service (AKS)
4) Automatically retrain the model on newer data and deploy the new model if the new model scores better than the previous.