Linear algebra is a branch of mathematics involving vectors, matrices and linear transformations. It is an important foundation of machine learning, from the symbols describing the operation of algorithms to the implementation of algorithms in code, all belong to the scope of this discipline. While linear algebra is an integral part of the field of machine learning, the close relationship between the two is often inexplicable or can only be explained by abstract concepts such as vector Spaces or specific matrix operations.
Introduction to Linear Algebra for Applied Machine Learning with Python The highlight of this tutorial is not only a graphical introduction to the basics of line generation and its application to machine learning, but also Python code examples. Disadvantage is all in English, suitable for everyone to check the gaps, in another way of thinking to review the line of knowledge.
Learn the address and related resources recommended
Machine learning linear algebra (Python) pabloinsente. Making. IO/intro – linea… The essence of the 3 blue1brown: linear algebra www.bilibili.com/video/BV1Ys… Mathematics for Machine Learning mml-book.github.io/
