Mathematics for Machine Learning: Linear Algebra
https://www.coursera.org/learn/linear-algebra-machine-learning
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.
Categoria: Data Science
Subcategoria: Machine Learning
Tipo de Curso: Course
Habilidades: Eigenvalues And Eigenvectors,Basis (Linear Algebra),Transformation Matrix,Linear Algebra,
Idioma: English
Subtitulos: Arabic, French, Portuguese (European), Italian, Vietnamese, German, Russian, English, Spanish
Rating: 4.7stars
Vistas: 11.522
Sitio Web: Coursera
Duracion: Approx. 18 hours to complete
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