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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Las técnicas y herramientas cubiertas en Mathematics for Machine Learning: Linear Algebra son muy similares a los requisitos que se encuentran en los anuncios de trabajo de Científico de datos.
Mathematics for Machine Learning: Linear Algebra is a part of dos structured learning paths.
3 Courses
4 Months
Mathematics for Machine Learning
22 Courses
Free Data Scientist
