An introduction to proofs and the axiomatic methods through a study of the vector space axioms. Linear analytic geometry. Linear dependence and independence, subspaces, basis. Inner products. Matrix ...
Prior machine learning experience (e.g., an introductory machine learning course ELEC_ENG 375/475 or COMP_SCI 349 or a similar course), a thorough understanding of Linear Algebra and Vector Calculus, ...
A thorough understanding of Linear Algebra and Vector Calculus, and strong familiarity with the Python programming language (e.g., basic data manipulation libraries, how to construct functions and ...
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