Company | Country | Industry | Employees | Revenue |
---|---|---|---|---|
| ||||
| ||||
| ||||
| ||||
| ||||
| ||||
| ||||
| ||||
| ||||
| ||||
| ||||
|
Continuous Machine Learning (CML) is an open-source library for implementing continuous integration & delivery (CI/CD) in machine learning projects. Use it to automate parts of your development workflow, including model training and evaluation, comparing ML experiments across your project history, and monitoring changing datasets.
2
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.
Continuous Machine Learning is used in 4 countries
Technology
is any of
Continuous Machine Learning
Country
is any of
United Kingdom
Company | Country | Industry | Employees | Revenue | Technologies |
---|---|---|---|---|---|
United Kingdom | Information Services | 1.7K | $70M | ![]() Continuous Machine Learning | |
United Kingdom | It Services And It Consulting | 50 | $226K | ![]() Continuous Machine Learning |
Download list of 2 companies using Continuous Machine Learning in United Kingdom. This curated 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.
There are 202 alternatives to Continuous Machine Learning
44.9k
43k
23.8k
10.2k
9.4k
9.1k
8.8k
6.9k
6.5k
6.4k
6.3k
5.9k
5.7k
5.2k
4.4k
3.7k
3.6k
2.2k
2.1k
2k
1.7k
1.6k
1.4k
1.4k
1.4k
1.2k
1.2k
1.2k
1.2k
1k
982
940
869
864
805
771
744
739
660
654
614
555
527
480
479
396
393
363
359
268