02. Video: Introduction to Machine Learning

Machine Learning is frequently split into supervised and unsupervised learning. Regression, which you will be learning about in this lesson (and its extensions in later lessons), is an example of supervised machine learning.

In supervised machine learning, you are interested in predicting a label for your data. Commonly, you might want to predict fraud, customers that will buy a product, or home values in an area.

In unsupervised machine learning, you are interested in clustering data together that isn't already labeled. This is covered in more detail in the Machine Learning Engineer Nanodegree. However, we will not be going into the details of these algorithms in this course.