Opi kuinka käytät Azure Machine Learnig Workspacea.
Tavoite
Tällä Microsoft Applied Skills -koulutuksella on tavoitteena oppia ML mallien teko Azuressa. Kurssin lopussa suoritetaan Applied Skills Assessment, jolla voi osoittaa osaamisensa.
Kenelle
Koulutus on suunnattu ML-asiantuntijoille.
Koulutuksen sisältö
Set up a development environment in Azure Machine Learning
- Create and configure an appropriate compute instance
- Clone git repositories in Azure ML
- Install appropriate libraries in notebooks
Prepare data for model training
- Connect to a data asset by using the Azure ML SDK
- Identify and resolve data quality issues by using Python
- Perform feature engineering
- Manage versioning of a data asset
Create and configure a model training script as a command job
- Create and configure an appropriate compute resource for the training
- Configure training parameters
- Submit a command job that trains a model
Manage artifacts by using MLflow
- Log metrics, parameters, and artifacts by using MLflow
- Log a model by using Mlflow
- Query MLflow logs by using the MLflow SDK
Deploy a model for real-time consumption
- Register a model
- Create and configure an online endpoint
- Deploy a model to an online endpoint
- Test a deployed model by invoking the endpoint
Avainsanat
Azure Machine Learning