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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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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Getting started with GPU acceleration for MicrosoftML’s rxNeuralNet

MicrosoftML’s rxNeuralNet model supports GPU acceleration. To enable GPU acceleration, you need to do a few things:   Install and configure CUDA on your Windows machine. For the purpose of this setup and later performance comparison, this is the machine used in this blog. There is an excellent old blog on how to do this. However, it’s slightly out of date…

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Image Segmentation Using MicrosoftML

In computer vision, the goal of image segmentation is to cluster pixels into salient image regions, i.e., regions corresponding to individual surfaces, objects or natural parts of objects. The goal of segmentation is simplify and/or change the representation of an image into something that is more meaningful and easier to analyze. More precisely, image segmentation is…

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Predicting NYC Taxi Tips using MicrosoftML

MicrosoftML is a new package for Microsoft R Server that adds state-of-the-art algorithms and data transforms to Microsoft R Server functionality. MicrosoftML includes these algorithms: Fast linear learner, with support for L1 and L2 regularization. Fast boosted decision tree. Fast random forest. Logistic regression, with support for L1 and L2 regularization. GPU-accelerated Deep Neural Networks…

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