Hands-On Machine Learning for Cybersecurity

Supervised learning algorithms

Supervised learning is where a known dataset is used to classify or predict with data in hand. Supervised learning methods learn from labelled data and then use the insight to make decisions on the testing data.

Supervised learning has several subcategories of learning, for example:

• Semi-supervised learning: This is the type of learning where the initial training data is incomplete. In other words, in this type of learning, both labelled and unlabelled are used in the training phase.
• Active learning: In this type of learning algorithm, the machine learning system gets active queries made to the user and learns on-the-go. This is a specialized case of supervised learning.

Some popular examples of supervised ...