What is AutoML? Automated machine learning, or AutoML, aims to reduce or eliminate the need for skilled data scientists to build machine learning and deep learning models.

Discover how AI and machine learning reduce flaky tests, cut maintenance costs, and improve accuracy in modern automated testing.

The global market for Automated Machine Learning (AutoML) is estimated at US$1.1 Billion in 2023 and is projected to reach US$10.9 Billion by 2030, growing at a CAGR of 39.3% from 2023 to 2030 ...

If executed effectively, wind farm operators can now use automated machine learning to turn under-utilized sensor data into a way to lower overall turbine asset maintenance costs.

Automated machine learning combines these two technologies to tap the best of both worlds, allowing companies to gain actionable insights while reducing total complexity. Once implemented, AutoML can ...

Professor Clough argues that the adoption of Machine Learning (ML) and Artificial Intelligence (AI) technologies in business is increasingly common and so it is now being used to support ...

AutoML, i.e. automated machine learning, can speed up these processes dramatically, sometimes from months to hours, and can also lower the human requirements from experienced Ph.D. data scientists ...

Companies are embracing automated machine learning, and several vendors, including dotData, are offering solutions in the area.

Automated machine-learning models accurately identified risk for diabetic retinopathy progression using ultra-widefield retinal images, according to a study published in JAMA Ophthalmology ...

Automated Machine Learning (AutoML) is hot in AI, but not necessarily so for self-driving cars.