Yes, there’s the option of building your own specific models using Azure’s Machine Learning studio, working with tools like PyTorch and TensorFlow to design and train models from scratch.

Simplify ML model explainability using the Azure Machine Learning service and Azure Interpret; Who this book is for. Machine learning engineers and data scientists who want to move to ML engineering ...

Azure Machine Learning is built with strong, enterprise-grade security features to protect data, models, and the entire machine learning workflow. It leverages Azure's Role-Based Access Control (RBAC) ...

An Azure Machine Learning Dataset allows you to explore, transform, and manage your data for various scenarios such as model training and pipeline creation. When you are ready to use the data for ...

Microsoft wants companies to build their own AI-powered “copilots” — using tools on Azure and machine learning models from its close partner OpenAI, of course. Microsoft defines a “copilot ...

“Using Azure Machine Learning, we can train a model on multiple distributed datasets. Rather than bringing the data to a central point, we do the opposite. We send the model for training to the ...