Matrix Algebra - Linear Algebra for Deep Learning (Part 2)

Last week I posted an article, which formed the first part in a series on Linear Algebra For Deep Learning. The response to the article was extremely positive, both in terms of feedback, article views and also more broadly on social media. Many of you commented that there was "an appetite" for introductory mathematical content and this only confirms the results of the QuantStart 2017 Content Survey. Hence I've decided to write more introductory articles, not only continuing with Linear Algebra, but also on the topics of Calculus and Probability, which are fundamental topics for machine learning--and quantitative finance more broadly. In the previous article we introduced the three basic entities that will be used in linear algebra, namely the scalar, vector and the matrix.