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Convex optimization studies the problem of minimizing a convex function over a convex set. Convexity, along with its numerous implications, has been used to come up with efficient algorithms for many classes of convex programs. Consequently, convex optimization has broadly impacted several disciplines of science and engineering. In the last few years, algorithms for. Susmit Jha is a Principal Scientist at SRI International, leading the research group on Neuro-Symbolic Computing and Intelligence . His research focuses on combining formal methods and machine learning to build trusted artificial intelligence and correct-by-construction autonomous systems. His research background is in Formal Methods. Applied Machine Learning (Columbia Engineering Executive Education) ... - Become familiar with essential tools for practicing data scientists such as Unix/Linux, git and GitHub, and RStudio. - Implement machine learning algorithms and gain in-depth knowledge of this area with real-life case studies. Duration: 9 courses, 2 to 8 weeks per.
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