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 ...

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 ...

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: - ...

This course offers students a practical introduction to using Machine Learning algorithms, tools, and techniques for solving problems that fall under the umbrella of Data Science. It is structured ...

data mining, machine learning, big data architecture and data visualization. You will work closely with CU Boulder’s faculty and will have the opportunity to utilize the same real-world big data sets ...

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 ...

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 ...