deploy model on ML and DL

Discussion in 'Big Data and Analytics' started by lovedeep.singh, Oct 13, 2018.

  1. lovedeep.singh

    Alumni

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    kindly provide any link or document how to deploy model in ML and DL (instructor Armando)

    Lovedeep Singh
     
    #1
  2. Armando Galeana

    Armando Galeana Active Member
    Trainer

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    There are a few ways to deploy your machine learning models. I would classify them in end-to-end ML in the cloud, end-to-end local ML and hybrid models.

    You will find multiple variations depending on the language being used (python, java, etc), the preferred framework (django, flask, etc.), distribution, etc.

    Here are some references for you to get started with end-to-end machine learning:

    End-to-end Machine Learning with Tensorflow on GCP
    https://codelabs.developers.google.com/codelabs/end-to-end-ml/index.html

    Learning Path: Building Machine Learning Pipelines Using Spark, Docker, and AWS
    https://www.oreilly.com/learning-paths/learning-path-building/9781492027485/

    End-to-end Machine Learning with Azure
    http://aihelpwebsite.com/Blog/EntryId/1020/An-End-To-End-Azure-Machine-Learning-Studio-Application

    Deploy Machine Learning using Flask
    https://www.analyticsvidhya.com/blog/2017/09/machine-learning-models-as-apis-using-flask/

    Hope this helps
     
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