Core Concepts
Machine Learning
Machine learning is a subfield of AI where algorithms automatically learn patterns from data and improve their performance with experience. Instead of hand-coding rules, ML systems infer rules from examples—enabling capabilities that would be impractical to program manually.
ML encompasses supervised, unsupervised, and reinforcement learning paradigms. It powers recommendation systems, fraud detection, medical imaging, and the language models transforming how humans interact with software.
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Related Terms
Core Concepts
Deep Learning
Subset of ML using neural networks with many layers to analyze complex data representations.
Core Concepts
Supervised Learning
Models trained on labeled data, learning to predict outcomes from inputs.
Core Concepts
Unsupervised Learning
Models learn patterns from unlabeled data without explicit instructions.
Techniques & Methods
Reinforcement Learning
An agent learns by taking actions in an environment and receiving rewards or penalties.