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EE227C (Spring 2018) Course page
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EE 227C (Spring 2018) Convex Optimization and Approximation EE 227C (Spring 2018) Convex Optimization and Approximation University of California, Berkeley Time: TuTh 12:30PM - 1:59PM , Location: Etcheverry 3106 Instructor: Moritz Hardt (Email: hardt+ee227c@berk…edu) Graduate Instructor: Max Simchowitz (Email: msimchow@berk…edu). Office hours: Max on Mon 3-4pm, Soda 310 (starting 1/29), Moritz on Fri 9–9:50a, SDH 722 Summary This course will explore theory and algorithms for nonlinear optimization. We will focus on problems that arise in machine learning and modern data analysis, paying attention to concerns about complexity, robustness, and implementation in these domains. We will also see how tools from convex optimization can help tackle non-convex optimization problems common in practice. Course notes Course notes will be publicly available. Participants will collaboratively create and maintain notes over the course of the semester using git. See this repo...
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