MACHINE LEARNING AS AN APPLICATION OF LINEAR ALGEBRA

In this blog, you will discover why machine learning practitioners should study linear algebra to improve their skills and capabilities as practitioners. After reading this blog, you will understand how can linear algebra be applied in machine learning. Linear algebra is the study of vector spaces, lines and planes, and mappings that are used for linear transforms. It was initially formalized in the 1800s to find the unknowns in linear equations systems, and hence it is relatively a young field of study. Linear Algebra is an essential field of mathematics that can also be called the mathematics of data.