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  • Description
  • Content
  • Target Audience

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.

LEARNING PATH
Implementing a Machine Learning solution with Azure Databricks

 

  • Module 1: Explore Azure Databricks
  • Module 2: Use Apache Spark in Azure Databricks
  • Module 3: Train a machine learning model in Azure Databricks
  • Module 4: Use MLflow in Azure Databricks
  • Module 5: Tune hyperparameters in Azure Databricks
  • Module 6: Use AutoML in Azure Databricks
  • Module 7: Train deep learning models in Azure Databricks

Prerequisites:

This learning path assumes that you have experience of using Python to explore data and train machine learning models with common open source frameworks, like Scikit-Learn, PyTorch, and TensorFlow. Consider completing the Create machine learning models learning path before starting this one.

Description

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.

Content

LEARNING PATH
Implementing a Machine Learning solution with Azure Databricks

 

  • Module 1: Explore Azure Databricks
  • Module 2: Use Apache Spark in Azure Databricks
  • Module 3: Train a machine learning model in Azure Databricks
  • Module 4: Use MLflow in Azure Databricks
  • Module 5: Tune hyperparameters in Azure Databricks
  • Module 6: Use AutoML in Azure Databricks
  • Module 7: Train deep learning models in Azure Databricks
Target Audience

Prerequisites:

This learning path assumes that you have experience of using Python to explore data and train machine learning models with common open source frameworks, like Scikit-Learn, PyTorch, and TensorFlow. Consider completing the Create machine learning models learning path before starting this one.

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