Data Science Crash Course 3/10: Linear Algebra and Statistics

This is the third instalment of Data Science Crash Course and today we're going to review mathematics needed for Data Science. Linear algebra is all about manipulations with vectors and matrices. It's both notation and useful way of manipulating object. You can perform operations on vectors like adding by adding each respective term -- they need to have the same length. You can multiply a vector by a scalar, that is a real number, by multiplying each of the entries by this real number.