This course gives students analytical tools to quantify information, perform inference, and study the relationship of information and learning. The course covers information measures, the source and ...

Advanced machine learning techniques, especially deep learning methods have greatly enhanced the capabilities of single and multi-modal information ...

We live in an information age where various manipulations of data, such as compression, encryption, storage, and communication, on the one hand, and machine learning, that involves the extraction of ...

The Master of Science in Machine Learning Engineering plan of study requires a total of 45 credits; 12 credits in core courses; 6 credits of mathematical theory, 3 credits in ... electronics ...

Catalog description: Presents the underlying theory behind machine learning in proofs-based format. Answers fundamental questions about what learning means and what can be learned via formal models of ...

The world of finance is advancing quickly, with technology playing an increasingly significant role in decision-making ...

Filling gaps in data sets or identifying outliers—that's the domain of the machine learning algorithm TabPFN, developed by a ...

The Information Processing and Machine Learning Laboratory (IPML) supports research in theoretical algorithm development in digital signal processing, adaptive and nonlinear signal processing, machine ...

Researchers at the Indian Institute of Science (IISc), with collaborators at University College London, have developed machine learning-based methods to predict material properties even with limited ...