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What is Azure Machine Learning Services?

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Azure Machine Learning is integrated with numerous services on the platform Azure. Some of the most commonly used services of the Microsoft Azure Machine Learning suite are as follows:

  • Azure Machine Learning Workbench: It is an end-user application that is used to handle various ML tasks like data preparation, data import, model development, and experiment management
  • Azure Machine Learning Experimentation Service: It operates with the Workbench in order to provide management of projects, version control, and access control using Git
  • Azure Machine Learning Model Management: It allows developers to manage and track versions of the model, register and store models, process dependencies and models into the image files of Docker.
  • Microsoft Machine Learning Libraries for Apache Spark (MML Spark): It provides various tools that help in integrating Spark pipelines with relative tools of Machine Learning like OpenCV library and Microsoft Cognitive Toolkit
  • Visual Studio Code Tools for AI: It is an extension of Visual Studio Code which is a code editor for multiple operating systems including Linux, Windows, and macOS
  • Azure Machine Learning Studio: It is a drag and drop and a visual tool developed to allow users to build and deploy interpretive analysis models without any need for coding

To learn more about the Azure Machine Learning Services, you must read Azure Machine Learning Tutorial.

Also, check out this comprehensive video tutorial on Azure Machine Learning:

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