Applying Machine Learning - A Case study and Hackathon

Course Overview

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.offers a brief introduction to the multivariate calculus required to build many common machine learning techniques.how we can use calculus to build approximations to functions, as well as helping us to quantify how accurate we should expect those approximations to be.This course is intended to offer an intuitive understanding of calculus,Linear algebra, vectors, statistics and probability