Linear Algebra for Machine Learning

This course gives you an introduction to some key ideas in Linear algebra and how these ideas are used in applications related to Machine Learning. You’ll learn about some fundamental objects in linear algebra – vectors and matrices – and how these are used to represent data. Together with operations on vectors and matrices, we get a number of applications including predictive models of data, dimensionality reduction strategies, and recommendation systems. This course offers a foundation in a topic central to the world of machine learning and artificial intelligence. Upon completion, you will be able to further explore topics of interest expressed in the language of vectors and matrices.

• By the end of this course, you should be able to understand the language of vectors and matrices and apply them to a variety of problems including using technology to implement vector and matrix operations. You will also use real datasets to apply these ideas to foundational algorithms from machine learning. There are a variety of activities to both sharpen your understanding of linear algebra and to demonstrate it in use data