The following outline is provided as an overview of and topical guide to machine learning: Machine learning – a subfield of soft computing within computer...
41 KB (3,580 words) - 16:15, 14 June 2024
Machine learning (ML) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn...
135 KB (14,773 words) - 17:41, 20 August 2024
In machine learning and pattern recognition, a feature is an individual measurable property or characteristic of a phenomenon. Choosing informative, discriminating...
9 KB (1,016 words) - 16:43, 10 June 2024
In machine learning, boosting is an ensemble meta-algorithm for primarily reducing bias, variance. It is used in supervised learning and a family of machine...
22 KB (2,305 words) - 03:52, 9 May 2024
Active learning is a special case of machine learning in which a learning algorithm can interactively query a human user (or some other information source)...
19 KB (2,361 words) - 00:11, 17 July 2024
Conference on Machine Learning (ICML) is the leading international academic conference in machine learning. Along with NeurIPS and ICLR, it is one of the three...
5 KB (377 words) - 03:11, 12 June 2024
In statistics and machine learning, leakage (also known as data leakage or target leakage) is the use of information in the model training process which...
6 KB (685 words) - 21:01, 9 August 2024
In machine learning, a learning curve (or training curve) plots the optimal value of a model's loss function for a training set against this loss function...
7 KB (932 words) - 19:02, 13 May 2024
In machine learning, support vector machines (SVMs, also support vector networks) are supervised max-margin models with associated learning algorithms...
64 KB (9,010 words) - 22:17, 18 August 2024
In machine learning and statistics, the learning rate is a tuning parameter in an optimization algorithm that determines the step size at each iteration...
9 KB (1,108 words) - 10:15, 30 April 2024