Algorithm Types of Machine Learning Algorithms

Categories

The fundamental learning approach that categorizes how the algorithm processes data and learns patterns, determining whether it uses labeled data, unlabeled data, or interaction-based learning mechanisms

Neural Networks: Neural network type algorithms use artificial neural networks to learn complex patterns from data.
Semi-Supervised Learning: Semi-supervised learning algorithms use both labeled and unlabeled data to improve learning performance.
Reinforcement Learning: Reinforcement learning algorithms learn optimal actions through interaction with environments and reward feedback.
Unsupervised Learning: Unsupervised learning algorithms discover hidden patterns in data without labeled examples or target variables.

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