Machine Learning, Data Science, the buzzwords for a decade now, depends extensively on Linear Algebra, Probability and Statistics, Optimization techniques.

Linear Algebra is an important math skill in machine learning and beginners interested in data science must familiarize themselves with essential concepts in linear algebra. With Linear Algebra playing a predominant role in many applications, this course focuses on foundations of Linear Algebra and in a way what Sheldon Axler calls it as “Linear Algebra Done Right”.

During the course, the participants will be exposed to geometric perspective to linear algebra and key ideas of vector spaces and basis, eigen decomposition, singular value decomposition along with applications.

This on-line course presents live lectures, tutorials, assignments and visualizations / demonstrations in addition to regular assessments and final certification exam.