Machine learning algorithms

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Accepted Answer

Machine learning algorithms are computational models that learn patterns from data to make predictions or decisions.

Machine learning algorithms can be categorized into supervised, unsupervised, and reinforcement learning.
Supervised learning algorithms learn from labeled data, such as linear regression or support vector machines.
Unsupervised learning algorithms find patterns in unlabeled data, like clustering algorithms or principal component analysis.
Reinforcement learning algorithms learn through trial and error, such as Q-learning or deep Q-networks.
Common machine learning algorithms include decision trees, random forests, neural networks, and k-nearest neighbors.
Machine learning algorithms require training data to learn patterns and make predictions.