In this course on Linear Algebra we look at what linear algebra is and how it relates to vectors and matrices. Then we look through what vectors and matrices are and how to work with them, including the knotty problem of eigenvalues and eigenvectors, and how to use these to solve problems. Finally we look at how to use these to do fun things with datasets - like how to rotate images of faces and how to extract eigenvectors to look at how the Pagerank algorithm works.
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Mathematics for Machine Learning: Linear Algebra 中涵盖的技术和工具与 数据科学家 招聘广告中的要求最为相似。
Mathematics for Machine Learning: Linear Algebra is a part of 二 structured learning paths.
3 Courses
4 Months
Mathematics for Machine Learning
22 Courses
Free Data Scientist
