Built as a joint effort by Microsoft and the team that started Apache Spark, Azure Databricks provides data science, engineering, and analytical teams with a single platform for big data processing and machine learning. In this course, you’ll learn how to use Azure Databricks to train and deploy machine learning models.
Data scientists and machine learning engineers.
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.
Students will learn to,
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
Module 8 : Manage machine learning in production with Azure Databricks
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