Build Your Own Image Similarity Model

The Image Similarity with SQL Server solution on the Azure AI Gallery demonstrates how to apply transfer learning, incorporating a pretrained deep neural network (DNN) model (trained on ImageNet) to the problem of finding images that are similar to a target image. In this solution, we use an image based product recommendation scenario as an…

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How to operationalize Keras models in Microsoft Machine Learning Server

Microsoft Machine Learning Server’s operationalization feature enables data scientists to operationalize their R and Python analytics. In this blog, we will see how to operationalize Keras models as web services in R and Python. Click here to know more about Microsoft Machine Learning Server Operationalization. You can configure Machine Learning Server to operationalize analytics on a single…

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Basics of R and Python Execution in SQL Server

In a previous post, we talked about how to set up Machine Learning Services in SQL Server. Now I will cover the basics of how to Execute R and Python in T-SQL statements. The video below will help you understand the basic syntax, parameter names, and data types used. I also summarized the key steps…

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Build Your Own Text Classification Model

In a support center, text needs to be quickly routed to the correct person. Chatbots need to turn text into different scenarios to be addressed. Sentiment analysis determines whether text is positive, negative, or neutral. In all three of these examples, machine learning models can help. The Text Classification solution on the Azure AI Gallery…

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Getting Started with Machine Learning Services in SQL Server

I would like to introduce you to some simple videos that will help you get started with Machine Learning Services in SQL Server. The videos below cover how to install and enable Machine Learning Services. After completing the instructions found here, you will be ready to execute R and Python in SQL Server. I summarized…

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