As previously mentioned, machine learning is part of data science and therefore not strictly confined to a specific role; you can be a data scientist working with machine learning and AI technologies.

The Big Data Analytics, Artificial Intelligence and Machine Learning research cluster tackles important problems and develops real-life applications, harnessing technologies to extract insights and ...

For computers, the learning process just looks a little different. First, we need to feed them lots of data : anything from pictures of everyday objects to details of banking transactions.

Machine learning, a field of artificial intelligence (AI), is the idea that a computer program can adapt to new data independently of human action.

When working with sensitive data, however, it is important to weigh the consequences of privacy leaks, and it may be necessary to sacrifice some machine learning performance in order to protect ...

The strategic advantage of QML continues to expand its presence in industries that deal with complex, high-dimensional data.

From delightful consumer experiences to attacking fuel costs and carbon emissions in the global supply chain, real-time data and machine learning (ML) work together to power apps that change ...

Poor data quality is enemy number one to the widespread, profitable use of machine learning. The quality demands of machine learning are steep, and bad data can rear its ugly head twice both in ...

“The work presented here constitutes a proof-of-concept that multivariate analytics methods, based on machine learning, can be a valuable tool for real-time monitoring and control of biopharma ...