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Linear Algebra Solutions for Data Science by 이인호 is a document available to read on EtoBox.

What is Linear Algebra Solutions for Data Science about?

This document provides a syllabus for a course on linear algebra for data science. The course will cover key topics in linear algebra needed for data science, including solving systems of linear equations, vector spaces, matrices, determinants, eigenvalues and eigenvectors, least squares, singular value decomposition, and principal component analysis. Students will learn about linear algebra through lectures, homework assignments, a midterm exam, final exam, and final project applying the concepts to data.

Author

이인호

Language

EN