This may mean that you’re not able to get a place on this course. Machine learning and data mining are emerging fields between statistics and computer science which focus on the statistical objectives ...

SAS’ core product is its Visual Data Mining and Machine Learning (VDMML ... leverage all capabilities in a flexible container-based architecture that runs in the cloud with integration with ...

The Mining Lab aims to build statistical models to tackle hard learning problems with limited labels in knowledge-rich domain (e.g., medicine and bioinformatics). Two central research themes: - ...

A broad range of advanced machine learning and data mining algorithms will be used to build predictive models from real-world contexts. A particular emphasis will be on developing data-products, rapid ...

Machine-ready articles are feeding a future of greater knowledge and faster R&D. To support this move towards digitisation, companies can now access the research in our journals in formats suitable ...

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

With a Master's in Computer Science from Clemson University and extensive experience at leading tech companies, he combines ...

A study of the science of drawing knowledge and insights from data, including the concepts and techniques of data mining, machine learning and natural language processing. The course covers both ...

His interest now lies in the field of machine learning and data mining, especially active learning and related topics. Xiaofan Que (Started in Fall 2019) Xiaofan received her B.Eng and M.Eng in ...

Students are not permitted to take this course alongside Algorithmic Techniques for Data Mining (MA429). Machine learning and data mining are emerging fields situated between statistics and computer ...