What does Machine Learning (ML) mean? Definition | AI Understanding

Definition

Methods that allow systems to learn patterns from data and improve over time.

Related terms

Performance degradation over time as real-world conditions diverge from training assumptions.

A shift in real-world input data over time that can degrade model performance.

Unsupervised Learning

Learning patterns from unlabeled data without explicit target outputs.

Continual Learning

Training approaches that let a model keep learning from new data without forgetting prior knowledge.

Data Augmentation

Techniques that create modified training examples to improve model generalization.

Combining predictions from multiple models to improve robustness or accuracy.

Learn more in our free guides

Deep Learning Reinforcement Learning Machine Learning Basics Supervised Learning

See also

Loss Function Memory (Agent Memory)LoRA (Low-Rank Adaptation)Mixture of Experts (MoE)Learning Rate Model Card Large Language Model (LLM)Latency

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