Python Data Structures and Algorithms

Types of machine learning

There are three broad categories of machine learning, as follows:

• Supervised learning: Here, an algorithm is fed a set of inputs and their corresponding outputs. The algorithm then has to figure out what the output will be for an unfamiliar input. Examples of such algorithms include naive Bayes, linear regression, and decision tree algorithms.
• Unsupervised learning: Without using the relationship that exists between a set of input and output variables, the unsupervised learning algorithm uses only the inputs to unearth groups, patterns, and clusters within the data. Examples of such algorithms include hierarchical clustering and k-means clustering.
• Reinforcement learning: The computer in this kind of learning dynamically ...