Machine Learning

Algorithms, models and training concepts.

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Regression

Regression is a supervised machine learning method that predicts continuous numerical values from input features.

Regularization

Regularization is a set of techniques in machine learning that reduce overfitting by adding a penalty term to the model's loss function, discouraging overly complex or large parameter values.

Reinforcement Learning

Reinforcement Learning (RL) is a machine learning method where an agent learns to make sequential decisions by interacting with an environment, receiving rewards or penalties, and aiming to maximize its long-term reward.

Reinforcement Learning from Human Feedback

Reinforcement Learning from Human Feedback (RLHF) is a training technique that improves AI models by using human preferences to guide the learning process instead of relying only on fixed rewards.