What is Azure Machine Learning?

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 Machine Learning as a Service category of a tech stack.

Who uses Azure Machine Learning?

22 companies reportedly use Azure Machine Learning in their tech stacks, including Microsoft, Bluebeam Software, and Petra.

37 developers on StackShare have stated that they use Azure Machine Learning.

Azure Machine Learning Integrations

Why developers like Azure Machine Learning?

Here’s a list of reasons why companies and developers use Azure Machine Learning
Top Reasons
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Azure Machine Learning's Features

  • Designed for new and experienced users
  • Proven algorithms from MS Research, Xbox and Bing
  • First class support for the open source language R
  • Seamless connection to HDInsight for big data solutions
  • Deploy models to production in minutes
  • Pay only for what you use. No hardware or software to buy

Azure Machine Learning Alternatives & Comparisons

What are some alternatives to Azure Machine Learning?
Python is a general purpose programming language created by Guido Van Rossum. Python is most praised for its elegant syntax and readable code, if you are just beginning your programming career python suits you best.
Amazon SageMaker
A fully-managed service that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale.
Amazon Machine Learning
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 a custom machine learning model without expertise or large amount of data. Just go to nanonets, upload images, wait for few minutes and integrate nanonets API to your application.
Platform-as-a-Service for training and deploying your DL models in the cloud. Start running your first project in < 30 sec! Floyd takes care of the grunt work so you can focus on the core of your problem.
See all alternatives

Azure Machine Learning's Followers
76 developers follow Azure Machine Learning to keep up with related blogs and decisions.
Omar Sazib
Ganesh Chavan
Murat Denizli
André Eduardo Pérez Álvarez
Peter Suwara
Amit Mohanty
Tzvia  Gitlin