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machine-learning-at-scale
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This repo is a collection of codes/notebooks for machine learning at scale on Azure Machine Learning.
## Getting Started
### setup base environment*
1. setup Azure Machine Learning Workspace in your Azure subscription.
2. download and install Visual Studio Code in your client PC. And install Azure Machine Learning Extension.
3. create new Azure ML Compute Instance and launch Visual Studio Code
*These steps are not mandatory. There are other ways to setup environment. But this repo is assumed to follow the above steps.
## Contents
### Train
@ -28,6 +17,18 @@ This repo is a collection of codes/notebooks for machine learning at scale on Az
Your contribution is welcome !
## Getting Started
### setup base environment*
1. Setup Azure Machine Learning Workspace in your Azure subscription. See [Manage Azure Machine Learning workspaces in the portal or with the Python SDK](https://docs.microsoft.com/en-us/azure/machine-learning/how-to-manage-workspace?tabs=python) for more details.
2. Download and install Visual Studio Code in your client PC. And install Azure Machine Learning Extension. See [Azure Machine Learning in VS Code](https://code.visualstudio.com/docs/datascience/azure-machine-learning) for more details.
3. Create new Azure ML Compute Instance and launch Visual Studio Code. See [Connect to an Azure Machine Learning compute instance in Visual Studio Code (preview) - Configure a remote compute instance](https://docs.microsoft.com/en-us/azure/machine-learning/how-to-set-up-vs-code-remote?tabs=studio#configure-a-remote-compute-instance) for more details.
4. Install Azure Machine Learning Cli 2.0. See [installation document](https://docs.microsoft.com/en-us/azure/machine-learning/how-to-configure-cli) for more details.
*These steps are not mandatory. There are the other ways to setup environment. But this repo is assumed to follow the above steps.
## Events
[2021-11-18] [DB TECH SHOWCASE 2021 (Japan)](https://www.db-tech-showcase.com/2021/schedule/) - D14 Microsoft : Azure Machine Learning で始める大規模機械学習 @ 女部田啓太