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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.
3,772
companies
Technoloy Usage Stadistics and Market Share
You can customize this data to your needs by filtering for geography, industry, company size, revenue, technology usage, job postions and more. You can download the data in Excel or CSV format.
You can get alerts for this data. You can get started by selecting the technology you are interested in and then you will receive alerts in your inbox when there are new companies using that technology.
You can export his data to an Excel file, which can be imported into your CRM. You can also export the data to an API.
There are 202 alternatives to Azure Machine Learning
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Azure Machine Learning is used in 61 countries
Technology
is any of
Azure Machine Learning
Company | Country | Industry | Employees | Revenue | Technologies |
---|---|---|---|---|---|
Germany | Broadcast Media Production And Distribution | 51 |
| Azure Machine Learning | |
United States | It Services And It Consulting | 19K | $2B | Azure Machine Learning | |
United States | Mining | 10K |
| Azure Machine Learning | |
United States | Financial Services | 22K | $6.9B | Azure Machine Learning | |
United States | Financial Services |
| Azure Machine Learning | ||
United States | It Services And It Consulting | 760 | $77M | Azure Machine Learning | |
United States | Utilities | 5K | $5.5B | Azure Machine Learning | |
United States | Food And Beverage Services | 96K | $39B | Azure Machine Learning | |
United States | Software Development | 1K | $18M | Azure Machine Learning | |
It Services And It Consulting | 501 |
| Azure Machine Learning |
We have data on 3,772 companies that use Azure Machine Learning. Our Azure Machine Learning customers list is available for download and comes enriched with vital company specifics, including industry classification, organizational size, geographical location, funding rounds, and revenue figures, among others.
Frequently asked questions