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Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of linear regression with two-way ...
In a recent advance, a multi-disciplinary team of researchers developed a machine learning framework that adapts to changes ...
We put emphasis on hands on, project based learning, and invest heavily in our state-of-the-art facilities and flexible project spaces to support this activity. Students have the opportunity to gain a ...
The course provides a review of general algorithm classes such as dynamic programming, heuristic algorithms, probabilistic algorithms, and a representative selection of single algorithms that solve ...
LinearSolve.jl: High-Performance Unified Interface for Linear Solvers in Julia. Easily switch between factorization and Krylov methods, add preconditioners, and all in one interface.
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