Semi-supervised learning
Semi-supervised learning is a machine learning approach that uses both labeled and unlabeled data to improve model accuracy, bridging the gap between supervised and unsupervised learning.
algorithm
Algorithmic bias
Algorithmic bias refers to the systematic and unfair discrimination present in algorithms. It can have profound implications across various sectors, including healthcare, finance, and law enforcement.
Ant colony optimization
Ant colony optimization is a computational algorithm inspired by the foraging behavior of ants, used for solving complex optimization problems.
Stochastic gradient descent
Stochastic gradient descent is an optimization algorithm used in machine learning and statistical modeling to minimize loss functions by iteratively updating parameters using random subsets of data.
Gradient descent
Gradient descent is an optimization algorithm used to minimize functions by iteratively moving toward the steepest descent direction. It is widely employed in machine learning and numerical optimization to find parameter values that minimize a cost or loss function.
DreamerV2
DreamerV2 is an advanced machine learning model designed for generating and understanding complex data patterns. It enhances predictive capabilities across various applications.
Fairness metrics (machine learning)
Fairness metrics in machine learning are measures used to assess the fairness of algorithms, ensuring equitable treatment across different demographic groups.
K-nearest neighbors algorithm (KNN)
The K-nearest neighbors algorithm (KNN) is a supervised machine learning algorithm used for classification and regression tasks. It operates by identifying the ‘k’ closest training examples to a query point.