Machine learning is a method of computer science that gives computers the ability to automatically apply complex calculations to big data and to find hidden insights without being explicitely told ...
Bayesian inference is an important method in statistics, and especially in mathematical statistics. It is based on Bayes...
Artificial Neural Networks are information processing paradigms. Inspired by biological nervous systems, Artificial Neural Networks process information partially similar to the way a biological bra...
Kernel methods is a class of algorithms frequently used in the field of machine learning. Kernels can be used to analyse, process and compare many types of data. Since kernel methods use square mat...
Ensemble learning is a machine learning method combining multiple learning algorithms. An ensemble contains a number of base learners trying to solve the same problem. The base learning algorithm g...
Instance-based learning methods comprise learning algorithms which store instances seen in training. Instead of processing and generalising seen instances immediatly, instance-based learning algori...
For handling and processing data with a high dimensionality adequatly, its dimensionality has to be reduced. Dimensionality reduction means to reduce data to its intrinsic dimensionality in order t...
Decision trees are classification or regression models in form of a tree-shaped diagramm. They are used to show statistical probability or different decision options. Consequently, each branch repr...
