As rapidly growing amounts of data are created and used in industry and research environments, there is an increasing demand for people who are able to pursue data-driven thinking and decision-making ...

Google is set to launch its new unified AI Platform ... transforming and preparing data, and machine learning. Gartner said very few DSML tasks are not supported by Knime’s platform.

Instead of seeing machine learning as a new field, the authors explore the connection between knowledge developed by quantitative finance over the past forty years and techniques generated by the ...

With data breaches and cyber threats like ... AIMS says it uses machine learning to automatically set dynamic thresholds and generate alerts that adapt to a company’s “rhythm of business.” ...

Find out more about available formats and browse any associated online resources. Data-driven discovery is revolutionizing how we model, predict, and control complex systems. Now with Python and ...

There are two major machine learning approaches: supervised and unsupervised. Supervised learning uses labelled data for tasks like classification, while unsupe ...

Machine learning methods enable computers to learn without being explicitly programmed and have multiple applications, for example, in the improvement of data mining algorithms. We present an RNA ...

Students in the Master of Science in Machine Learning and Data Science program move through the set curriculum as a cohort. The program limits enrollment to about 55 students; the small cohort size ...

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 ...

Machine-learning techniques used by thousands of scientists to analyse data are producing results that are misleading and often completely wrong. Dr Genevera Allen from Rice University in Houston ...

Data-driven decision-making has seen a skyrocketing demand in today's world of AI and machine learning (ML ... Any ML model can only be as good as the sets of data it's fed—clean, structured ...