Episode
Preparing for DP-100 - Explore data and train models (2 of 4)
with Elena Moor
In this second exam prep for DP-100, Elena Moor introduces you to exploring data and train models. This segment will cover exploring data by using data assets and data stores; creating models by using the Azure Machine Learning designer; using Automated Machine Learning to explore optimal models; using Notebooks for custom model training; tuning hyperparameters with Azure Machine Learning.
This segment covers the second of four high-level topics in the skills measured. This second functional group will account for 35-40% of the questions you might encounter on the exam.
Skills measured
- Design and prepare a machine learning solution (20-25%)
- Explore data and train models (35-40%)
- Prepare a model for deployment (20-25%)
- Deploy and retrain a model (10-15%)
Recommended resources
Related episodes
In this second exam prep for DP-100, Elena Moor introduces you to exploring data and train models. This segment will cover exploring data by using data assets and data stores; creating models by using the Azure Machine Learning designer; using Automated Machine Learning to explore optimal models; using Notebooks for custom model training; tuning hyperparameters with Azure Machine Learning.
This segment covers the second of four high-level topics in the skills measured. This second functional group will account for 35-40% of the questions you might encounter on the exam.
Skills measured
- Design and prepare a machine learning solution (20-25%)
- Explore data and train models (35-40%)
- Prepare a model for deployment (20-25%)
- Deploy and retrain a model (10-15%)
Recommended resources
Related episodes
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