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AI OpenScale tutorials.

Tutorial 1. Working with Watson Machine Learning engine

  • Step 1: CARS4U action recommendation model creation, deployment as web-service and scoring using Watson Machine Learning - notebook
  • Step 2: Data mart creation, model deployment monitoring and data analysis - notebook
  • Step 3: CARS4U - Car rental sample python application - deployment instruction

Tutorial 2. Working with Custom Machine Learning engine

  • Step 1: Creation of Custom Machine Learning engine using Kubernetes cluster - deployment instruction
  • Step 2: Data mart creation, model deployment monitoring and data analysis - notebook

Tutorial 3. Working with Azure Machine Learning Studio engine

  • Step 1: Data mart creation, model deployment monitoring and data analysis - notebook

Tutorial 4. Working with Amazon SageMaker Machine Learning engine

  • Step 1: Creation and deployment of breast cancer prediction model - notebook
  • Step 1: Data mart creation, model deployment monitoring and data analysis - notebook

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AI OpenScale tutorials including sample models, notebooks and applications

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  • Jupyter Notebook 89.3%
  • Python 5.8%
  • JavaScript 1.8%
  • CSS 1.6%
  • HTML 1.5%