Mathematical models that learn patterns from data, rather than being given explicit rules. The group includes artificial neural networks and two of their best-known forms, the convolutional network for images and the recurrent network for sequences, together with decision trees, support vector machines, Bayesian networks that encode probabilities among variables, and the Markov decision process used to describe decisions made step by step under uncertainty.
All Machine Learning Models
Filter Results7 entries
Sources
Neural network (Wikipedia)
Has Member: Neural Network, LeadQuote, Has Member: Neural Network, Lead
A neural network is a group of interconnected units called neurons that send signals to one another.
Convolutional neural network - Wikipedia
Has Member: Convolutional Neural Network, LeadQuote, Has Member: Convolutional Neural Network, Lead
A convolutional neural network (CNN) is a type of feedforward neural network that learns features via filter (or kernel) optimization.
Recurrent neural network - Wikipedia
Has Member: Recurrent Neural Network, LeadQuote, Has Member: Recurrent Neural Network, Lead
In artificial neural networks, recurrent neural networks (RNNs) are designed for processing sequential data, such as text, speech, and time series, where the order of elements is important.
Decision tree learning - Wikipedia
Has Member: Decision Tree, LeadQuote, Has Member: Decision Tree, Lead
Decision tree learning is a supervised learning approach used in statistics, data mining and machine learning.
Support vector machine - Wikipedia
Has Member: Support Vector Machine, LeadQuote, Has Member: Support Vector Machine, Lead
In machine learning, a support vector machine (SVM) or support vector network is a supervised max-margin model with associated learning algorithms that analyze data for classification and regression analysis.
Markov decision process - Wikipedia
Has Member: Markov Decision Process, LeadQuote, Has Member: Markov Decision Process, Lead
A Markov decision process (MDP) is a mathematical model for sequential decision making when outcomes are uncertain.
Bayesian network - Wikipedia
Has Member: Bayesian Network, LeadQuote, Has Member: Bayesian Network, Lead
A Bayesian network (also known as a Bayes network, Bayes net, belief network, or decision network) is a probabilistic graphical model that represents a set of variables and their conditional dependencies via a directed acyclic graph (DAG).
Reader Challenges (0)
No disputes yet. Spotted an error or a better source? Open the first one.
Sign in to dispute this or suggest a correction.