This course offers an introduction to mathematical nonlinear optimization with applications in data science. The theoretical foundation and the fundamental algorithms for nonlinear optimization are ...

Learn how the Adagrad optimization algorithm works and see how to implement it step by step in pure Python — perfect for ...

Building fast and highly performant data science applications requires an intimate knowledge of how data can be organized in a computer and how to efficiently perform operations such as sorting, ...

Scientists found that ants and other natural systems use optimization algorithms similar to those used by engineered systems, including the Internet. These algorithms invest incrementally more ...

“In machine learning datasets, you might have data that’s super correlated, so in other words, they are not independent from each other,” Garcia says. “This is what entanglement is.

Degree Requirements Students enrolled in the Professional MS in Computer Science (MSCPS) program with the Algorithms, Network and Optimization (ANO) subplan must complete 30 credit hours of graduate ...