In almost any Python program code in Machine Learning, you see the "Numpy" library being used! Why? Doing Machine Learning is impossible without Linear Algebra and Linear Algebra is formed by vectors, matrices, etc. Well, Numpy is one of the best scientific computing packages for Linear Algebra! So that was the short answer to the "why" question earlier!
This course is dedicated to Numpy, one of the most important scientific computing libraries for Linear Algebra and henceforth, Machine Learning!
This is a short video course designed for beginners. It assumes the practitioner does not have any prior knowledge about Python programming. The goal is to provide short, concise tutorials dedicated to describe the Python syntax with examples.
In this course, the probability theory is described. You will learn what is necessary for Machine Learning from probability theory.