Units: 4 Terms Offered: FaSpAn introduction to the principles behind and algorithms employed in data science including methods of linear algebra, probability theory and optimization theory; data science applications. Prerequisite: (MATH 225 or MATH 235) and (MATH 226 or MATH 229) and (MATH 307 or MATH 407) Instruction Mode: Lecture Grading Option: Letter
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