Fast Focus: Azure Notebooks for Artificial Intelligence
summary
Shows how to create an Azure Machine Learning workspace, clone sample Jupyter notebooks from GitHub, and launch a VM-backed compute instance to run Python, R and TensorFlow examples. Demonstrates cloning samples into user files, starting notebooks from the studio, and that the created compute instance appears running with a public IP. Notes occasional region service limits during COVID and recommends changing the region. Explains teardown and using VS Code for development.
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chapters (4)
- 0:00Start
- 0:01Jennifer Stirrup FAST FOCUS: AZURE NOTEBOOKS FOR ARTIFICIAL INTELLIGENCE
- 2:46The Notebook has support for over 40 programming languages, including those popular in Data Science such as Python, R. Julia and Scala Uses include: data cleaning and transformation, numerical simulation, statistical modeling, machine learning and much more.
- 4:42Notebook mode supports literate computing and reproducible sessions Code chunks of python alongside the results and additional comments Can be exported in various file formats
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