Machine learning algorithms can be categorized into three main types: supervised, unsupervised, and reinforcement learning. Get ready to embark on an enlightening journey through the fascinating landscape of machine learning!
This type of algorithm uses labeled data to help predict outcomes. Examples include linear regression, logistic regression, and support vector machines.
Unsupervised learning algorithms analyze and cluster unlabeled datasets. They discover hidden patterns or data groupings without the need for human intervention. Examples include k-means clustering and hierarchical clustering.
Reinforcement learning is a type of machine learning algorithm where an agent learns to achieve a goal by interacting with its environment. It provides feedback in the form of rewards or penalties.