Experimentation using Notebooks in Azure ML with remote compute [Part 3/4] | AI Show

This post has been republished via RSS; it originally appeared at: Channel 9.

This episode of the AI Show is the third in a series talking about the Azure ML Services. The new Azure Machine Learning Services provide an integrated, end-to-end data science experience. It enables data scientists to prepare data, develop experiments, and deploy models at cloud scale.

In this episode, you will use the Notebooks capability of Azure ML with a remote GPU compute (DSVM). You will use Pandas (Python), Scikit-Learn to train a Machine Learning model and create a deployable ML model.

More information here.

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