Information Technology
DP-3014 Implementing a Machine Learning solution with Azure Databricks
Azure Databricks is a cloud-scale platform for data analytics and machine learning. Data scientists and machine learning engineers can use Azure Databricks to implement machine learning solutions at scale.
1 Day
8 Hrs
7 Lessons
Agenda
- Get started with Azure Databricks
- Identify Azure Databricks workloads
- Understand key concepts
- Get to know Spark
- Create a Spark cluster
- Use Spark in notebooks
- Use Spark to work with data files
- Visualize data
- Understand principles of machine learning
- Machine learning in Azure Databricks
- Prepare data for machine learning
- Train a machine learning model
- Evaluate a machine learning model
- Capabilities of Mlflow
- Run experiments with Mlflow
- Register and serve models with Mlflow
- Optimize hyperparameters with Hyperopt
- Review Hyperopt trials
- Scale Hyperopt trials
- What is AutoML?
- Use AutoML in the Azure Databricks user interface
- Use code to run an AutoML experiment
- Understand deep learning concepts
- Distribute PyTorch training with Horovod
- Train models with PyTorch
$33.49
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Course Type: Instructor Led