Designing and Implementing a Data Science Solution on Azure
Seminar
In Salzburg (Österreich), Wien (Österreich), Stuttgart und an 21 weiteren Standorten
Beschreibung
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Kursart
Seminar
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Ort
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Dauer
3 Tage
Before attending this course, students must have:*+ Azure Fundamentals*+ Understanding of data science including how to prepare data, train models, and evaluate competing models to select the best one.*+ How to program in the Python programming language and use the Python libraries: pandas, scikit-learn, matplotlib, and seaborn.
Standorte und Zeitplan
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Hinweise zu diesem Kurs
This course is aimed at data scientists and those with significant responsibilities in training and deploying machine learning models.
Meinungen
Themen
- Service
- Python
Inhalte
- Introduce the Data Science Process
- Overview of Azure Data Science Options
- Introduce Azure Notebooks Module 2: Doing Data Science with Azure Machine Learning service The student will learn how to use Azure Machine Learning service to automate the data science process end to end. Lessons
- Introduce Azure Machine Learning (AML) service
- Register and deploy ML models with AML service Module 3: Automate Machine Learning with Azure Machine Learning service In this module, the student will learn about the machine learning pipeline and how the Azure Machine Learning service's AutoML and HyperDrive can automate some of the laborious parts of it. Lessons
- Automate Machine Learning Model Selection
- Automate Hyperparameter Tuning with HyperDrive Module 4: Manage and Monitor Machine Learning Models with the Azure Machine Learning service In this module, the student will learn how to automatically manage and monitor machine learning models in the Azure Machine Learning service. Lessons - Manage and Monitor Machine Learning Models
Designing and Implementing a Data Science Solution on Azure