Auto Machine learning (AutoML) software enables data scientists and machine learning engineers as well as non-technical users, to automatically build scalable machine learning models.
Most AutoML software achieve this by auto-analyzing data and selecting algorithms models based on insights gained from data analysis. These models are trained, tested and refined (hyperparameter tuning) on a subset of the available data using various methodologies. Finally, models with the best performance are shared with the end-user.
Most AutoML software allow users to trade-off between complexity and performance. Therefore users have the chance to build complex models with high performance or less complex models, explainable models that offer slightly inferior performance.
To be categorized as autoML software, a product must be able to:
- Build models with a wide range of algorithms (e.g. deicision trees, neural nets)
- Provide a refined model to the end user
Compare AutoML Software
AIMultiple is data driven. Evaluate 19 products based on comprehensive, transparent and objective AIMultiple scores. For any of our scores, click the icon to learn how it is calculated based on objective data.
DataRobot's automated machine learning platform makes it fast and easy to build and deploy accurate predictive models.
Google Cloud AutoML
Cloud AutoML is a suite of machine learning products that enables developers with limited machine learning expertise to train high-quality models
Compellon utilizes an assumption-free approach to bring you answers based solely on the evidence in the data.
Searches with brand name
These are the number of queries on search engines which include the brand name of the product. Compared to other product based solutions, AutoML software is more concentrated in terms of top 3 companies' share of search queries. Top 3 companies receive 96% (22% more than average) of search queries in this area.
AutoML software is a highly concentrated solution category in terms of web traffic. Top 3 companies receive 97% (22% more than average solution category) of the online visitors on AutoML software company websites.
Number of Employees
Median number of employees that provide AutoML software is 113 which is 54
more than the median number of employees for the average solution category.
In most cases, companies need at least 10 employees to serve other businesses with a proven tech product or service. 6 companies (40 less than average solution category) with >10 employees are offering AutoML software. Top 3 products are developed by companies with a total of 100-500k employees. However, all of these top 3 companies have multiple products so only a portion of this workforce is actually working on these top 3 products.