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.
Este curso forma parte de Programa especializado: Matemática aplicada al aprendizaje automático
Ofrecido Por
Acerca de este Curso
Habilidades que obtendrás
- Eigenvalues And Eigenvectors
- Basis (Linear Algebra)
- Transformation Matrix
- Linear Algebra
Ofrecido por
Programa - Qué aprenderás en este curso
Introduction to Linear Algebra and to Mathematics for Machine Learning
Vectors are objects that move around space
Matrices in Linear Algebra: Objects that operate on Vectors
Matrices make linear mappings
Reseñas
- 5 stars74,64 %
- 4 stars19,79 %
- 3 stars3,39 %
- 2 stars1,14 %
- 1 star1,02 %
Principales reseñas sobre MATHEMATICS FOR MACHINE LEARNING: LINEAR ALGEBRA
Excellent review of Linear Algebra even for those who have taken it at school. Handwriting of the first instructor wasn't always legible, but wasn't too bad. Second instructor's handwriting is better.
Professors teaches in so much friendly manner. This is beginner level course. Don't expect you will dive deep inside the Linear Algebra. But the foundation will become solid if you attend this course.
Amazing course, great instructors. The amount of working linear algebra knowledge you get from this single course is substantial. It has already helped solidify my learning in other ML and AI courses.
Great way to learn about applied Linear Algebra. Should be fairly easy if you have any background with linear algebra, but looks at concepts through the scope of geometric application, which is fresh.
Acerca de Programa especializado: Matemática aplicada al aprendizaje automático

Preguntas Frecuentes
¿Cuándo podré acceder a las lecciones y tareas?
¿Qué recibiré si me suscribo a este Programa especializado?
¿Hay ayuda económica disponible?
¿Tienes más preguntas? Visita el Centro de Ayuda al Estudiante.