Ensembles
The process of using multiple learning algorithms in an attempt to improve predictive performance not obtainable otherwise with any of the constituent learning algorithms. [Wikipedia]
Decision Trees
Decision trees explore every possible outcome from a set of programmatically automated decisions, often represented with tree-like diagrams.
Deep Learning
Deep learning is a branch of machine learning that attempts to generate abstract features that best describe their output at every level of their hierarchy from a set of input data.
Artificial Neuro Networks
Artificial Neural Networks emulate information processes that take place in the human brain. They are composed of a large number of simple signal and information processing units that can describe highly complex, non-linear functions or classify objects.
Instance-based
Instance-based learning performs approximate matching to a set of pre-constructed, general explicit descriptions of a target function to optimise learning-speed and memory usage.
Bayesian
A method used to draw probabilities of confidence with which a specific state of a system's environment can be described at any given point of time.
Regularisation
The introduction of additional information where a given problem is ill-posed, properties of which are described. (Kabanikhin, S. I., 2008)
Dimensionality Reduction
The process of reducing the number of random variables under consideration, via obtaining a set of principal variables. [Wikipedia]
Statistical and Machine Learning
Machine learning is a type of artificial intelligence (AI) that provides computers with the ability to learn without being explicitly programmed. Statistical learning refers to the ability of making use of statistical information in order to extract regularities over time.
Rule Based
Used by systems to interpret information for decision making by manipulating stored knowledge with a set of defined rules.
Clustering Methods
The task of grouping objects together that are more closely correlated than the objects appearing in other groups.
Regression
Regression analysis is a statistical process for estimating the relationships among variables. [Wikipedia]
TDM Methods
A set of methods that aid in the knowledge discovery process from un-structured and semi-structured data from different written resources.
Kernel Methods
A set of algorithms that can perform pattern examination in an attempt to find general types of relations in datasets. [Wikipedia]
Association Rules
A rule-based machine learning method used in recognising relationships among variables.