Azure Machine Learning is a fully-managed cloud service that enables data scientists and developers to efficiently embed predictive analytics into their applications, helping organizations use massive data sets and bring all the benefits of the cloud to machine learning.
Azure Machine Learning is a tool in the AI Infrastructure category of a tech stack.
No pros listed yet.
No cons listed yet.
What are some alternatives to Azure Machine Learning?
A fully-managed service that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale.
This new AWS service helps you to use all of that data you’ve been collecting to improve the quality of your decisions. You can build and fine-tune predictive models using large amounts of data, and then use Amazon Machine Learning to make predictions (in batch mode or in real-time) at scale. You can benefit from machine learning even if you don’t have an advanced degree in statistics or the desire to setup, run, and maintain your own processing and storage infrastructure.
Build And Run Predictive Applications For Streaming Data From Applications, Devices, Machines and Wearables
It lets you run machine learning models with a few lines of code, without needing to understand how machine learning works.
Azure Cosmos DB, Azure IoT Hub, Microsoft Azure, BLOOM, Mistral 7B are some of the popular tools that integrate with Azure Machine Learning. Here's a list of all 5 tools that integrate with Azure Machine Learning.