Learn how to operate machine learning solutions at cloud scale using Azure Machine Learning. This course teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring in Microsoft Azure.
This course is designed for data scientists with existing knowledge of Python and machine learning frameworks like Scikit-Learn, PyTorch, and Tensorflow, who want to build and operate machine learning solutions in the cloud.
Successful Azure Data Scientists start this role with a fundamental knowledge of cloud computing concepts, and experience in general data science and machine learning tools and techniques.
Specifically:
Introduction to the Azure Machine Learning SDK
Use Automated Machine Learning in Azure Machine Learning
Create a classification model with Azure Machine Learning designer
Train a machine learning model with Azure Machine Learning
Work with Data in Azure Machine Learning
Work with Compute in Azure Machine Learning
Orchestrate machine learning with pipelines
Deploy real-time machine learning services with Azure Machine Learning
Deploy batch inference pipelines with Azure Machine Learning
Tune hyperparameters with Azure Machine Learning
Automate machine learning model selection with Azure Machine Learning
Explore differential privacy
Explain machine learning models with Azure Machine Learning
Detect and mitigate unfairness in models with Azure Machine Learning
Monitor data drift with Azure Machine Learning
Monitor models with Azure Machine Learning
SCARICA MODULO ISCRIZIONE
