Constraint programming combined with machine learning provides a robust framework for addressing complex combinatorial problems across diverse domains such as energy management, production scheduling ...

Inductive logic programming (ILP) and machine learning together represent a powerful synthesis of symbolic reasoning and statistical inference. ILP focuses on deriving interpretable logic rules from ...

Kate Yee’s summer internship with AbbVie was the next step in a transition to a career in healthcare analytics. Kate Yee (MLDS ‘24) wants a future in healthcare analytics. Their summer internship was ...

Harvard University presents its eight-week online course through edX, which imparts to students essential knowledge of ...

MLDS associate director Stephen Dowling talks about the benefits of the program and how it prepares students to stand out when searching for jobs. Northwestern Engineering's Master of Science in ...

We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.

(WASHINGTON—March 27, 2025) — A machine learning model generated by a team from the European Society for Blood and Marrow Transplantation (EBMT) outperformed standard statistical models in identifying ...

WEP expands to states, strengthens public-private model to boost women-led development: NITI Ayog's Anna Roy ...

For centuries, scientists have used microscopes to magnify and peer into a world invisible to the naked eye. The earliest instruments were simple lens-filled tubes, the best of which revealed the ...

Due to high demand for this course, we operate a staged admissions process with multiple selection deadlines throughout the year, to maintain a fair and transparent approach. Explore our campus, meet ...