Mathematics for Machine Learning - Linear Algebra - Mathematics for Machine Learning - Linear Algebra - Full Online Specialism

Welcome to the “Mathematics for Machine Learning: Linear Algebra” course, offered by Imperial College London. This video is an online specialisation in Mathematics for Machine Learning (m4ml) hosted by Coursera. For more information on the course and to access the full experience, please visit: https://www.coursera.org/specializati... Your course instructors are - Dr Sam Cooper (@camsooper, https://twitter.com/camsooper) - Dr David Dye (@DavidDye9, https://twitter.com/DavidDye9) If you have any questions about the course, please contact the instructors via Twitter. This course offers an introduction to the linear algebra required for common machine learning techniques. We start at the very beginning with thinking about vectors and what vectors are, and the basic mathematical operations we can do with vectors, like how to add vectors. We then move on to think about how to find the product of vectors and what the modulus or size of a vector is. In physical spaces that then lets us think about linear algebra geometrically, and therefore when vectors are perpendicular to eachother or have an angle between then. We can think about the basis – the fundamental vectors that make up a vector space – and how to change basis and transform between vector frames. That then lets us think about how to combine matrix transformations and how to do inverse transformations. That then takes us on to think about the eigenvectors and eigenvalues of a transformation and what these “eigen-things” mean. We then finish up the course by applying all this to a machine learning problem – the google pagerank algorithm. This course was designed to help you quickly build an intuitive understanding of linear algebra, as well as the language necessary to look concepts up yourselves when you get stuck; it is not intended cover all the details. We hope you enjoy it and that it gives you the confidence to dive into one of the many other wonderful machine learning courses available online