Supervised Machine Learning
Within machine learning, supervised learning is one of the most used and most useful subfields. It is often the first area students learn within machine learning and what people think of when first hearing about machine learning, as it involves learning on annotated or labeled data, similar to how we learn from correct examples.
The applications of supervised machine learning are wide and varied. From the spam detection on your email inbox, through to recommendation systems used when recommending TV shows and movies on your favorite streaming service, through to the call you get from your bank when its systems believe they may have detected fraudulent transactions, these are all applications of supervised machine learning.
In this chapter, we will discuss in more detail the steps involved in training and deploying supervised machine learning models, some of the core supervised machine learning models, factors to consider when training and evaluating...
