闪播福利库

Optimization Methods in Data Science is an advanced mathematical course providing the foundations and concepts of optimization that are essential elements of machine learning algorithms in data science, ranging from mathematical optimization to convex optimization to unconstrained and constrained optimization to nonlinear optimization to stochastic optimization. Students will gain hands-on experience using Python and various optimization packages in Python. Corequisite: 顿础厂颁听32103. Prerequisite: 顿础厂颁听21103, 顿础厂颁听25904, (顿础厂颁听310贬3 or 顿础厂颁听31003), ((惭础罢贬听30103 and 厂罢础罢听30043) or (滨狈贰骋听23104 and 滨狈贰骋听23203)), and student must be a DTSCBS major. (Typically offered: Spring)