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Title: GitHub - ahhaque/MachineLearningNotebooks: Python notebooks with ML and deep learning examples with Azure Machine Learning | Microsoft · GitHub

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Description: Python notebooks with ML and deep learning examples with Azure Machine Learning | Microsoft - ahhaque/MachineLearningNotebooks

Open Graph Description: Python notebooks with ML and deep learning examples with Azure Machine Learning | Microsoft - ahhaque/MachineLearningNotebooks

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https://github.com/ahhaque/MachineLearningNotebooks#quick-installation
how to set up your environmenthttps://github.com/ahhaque/MachineLearningNotebooks/blob/master/NBSETUP.md
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Part 1 (Training)https://github.com/ahhaque/MachineLearningNotebooks/blob/master/tutorials/img-classification-part1-training.ipynb
Part 2 (Deployment)https://github.com/ahhaque/MachineLearningNotebooks/blob/master/tutorials/img-classification-part2-deploy.ipynb
train within Notebookhttps://github.com/ahhaque/MachineLearningNotebooks/blob/master/how-to-use-azureml/training/train-within-notebook/train-within-notebook.ipynb
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using logging APIshttps://github.com/ahhaque/MachineLearningNotebooks/blob/master/how-to-use-azureml/training/logging-api/logging-api.ipynb
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distributed hyperparameter tuninghttps://github.com/ahhaque/MachineLearningNotebooks/blob/master/how-to-use-azureml/training-with-deep-learning/train-hyperparameter-tune-deploy-with-pytorch/train-hyperparameter-tune-deploy-with-pytorch.ipynb
distributed traininghttps://github.com/ahhaque/MachineLearningNotebooks/blob/master/how-to-use-azureml/training-with-deep-learning/distributed-pytorch-with-horovod/distributed-pytorch-with-horovod.ipynb
training within Notebook and deploying to Azure Container Instancehttps://github.com/ahhaque/MachineLearningNotebooks/blob/master/how-to-use-azureml/training/train-within-notebook/train-within-notebook.ipynb
register and manage models, and create Docker imageshttps://github.com/ahhaque/MachineLearningNotebooks/blob/master/how-to-use-azureml/deployment/register-model-create-image-deploy-service/register-model-create-image-deploy-service.ipynb
production deploy models on Azure Kubernetes Clusterhttps://github.com/ahhaque/MachineLearningNotebooks/blob/master/how-to-use-azureml/deployment/production-deploy-to-aks/production-deploy-to-aks.ipynb
train a model within Notebookhttps://github.com/ahhaque/MachineLearningNotebooks/blob/master/how-to-use-azureml/training/train-within-notebook/train-within-notebook.ipynb
register and manage modelshttps://github.com/ahhaque/MachineLearningNotebooks/blob/master/how-to-use-azureml/deployment/register-model-create-image-deploy-service/register-model-create-image-deploy-service.ipynb
create Machine Learning Compute for scoring computehttps://github.com/ahhaque/MachineLearningNotebooks/blob/master/how-to-use-azureml/training/train-on-amlcompute/train-on-amlcompute.ipynb
use Machine Learning Pipelines to deploy your modelhttps://aka.ms/pl-batch-scoring
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Tutorialshttps://github.com/ahhaque/MachineLearningNotebooks/blob/master/tutorials
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How to use Azure MLhttps://github.com/ahhaque/MachineLearningNotebooks/blob/master/how-to-use-azureml
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Training with Deep Learninghttps://github.com/ahhaque/MachineLearningNotebooks/blob/master/how-to-use-azureml/training-with-deep-learning
Manage Azure ML Servicehttps://github.com/ahhaque/MachineLearningNotebooks/blob/master/how-to-use-azureml/manage-azureml-service
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official documentation site for Azure Machine Learning servicehttps://docs.microsoft.com/en-us/azure/machine-learning/service/
Python SDK referencehttps://docs.microsoft.com/en-us/python/api/overview/azure/ml/intro?view=azure-ml-py
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tutorials and how-toshttps://aka.ms/aml-data-prep-notebooks
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https://github.com/ahhaque/MachineLearningNotebooks#projects-using-azure-machine-learning
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