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  2. LightGBM - Wikipedia

    en.wikipedia.org/wiki/LightGBM

    LightGBM, short for Light Gradient-Boosting Machine, is a free and open-source distributed gradient-boosting framework for machine learning, originally developed by Microsoft. [4] [5] It is based on decision tree algorithms and used for ranking, classification and other machine learning tasks. The development focus is on performance and ...

  3. Cassie Kozyrkov - Wikipedia

    en.wikipedia.org/wiki/Cassie_Kozyrkov

    [2] [4] As a child, Kozyrkov became interested in data when she discovered spreadsheet software and later became interested in the relationship between information and decision-making. [5] She began her studies in economics and mathematical statistics at Nelson Mandela University at the age of fifteen, and transferred to the University of ...

  4. She spent 10 years at Google, five of which as chief decision scientist. Among her responsibilities, she guided company leaders to make informed and responsible decisions regarding AI.

  5. Business decision mapping - Wikipedia

    en.wikipedia.org/wiki/Business_Decision_Mapping

    Business decision mapping (BDM) is a technique for making decisions, particularly for the kind of decisions that often need to be made in business.It involves using diagrams to help articulate and work through the decision problem, from initial recognition of the need through to communication of the decision and the thinking behind it.

  6. Decision tree - Wikipedia

    en.wikipedia.org/wiki/Decision_tree

    Decision trees can also be seen as generative models of induction rules from empirical data. An optimal decision tree is then defined as a tree that accounts for most of the data, while minimizing the number of levels (or "questions"). [8] Several algorithms to generate such optimal trees have been devised, such as ID3/4/5, [9] CLS, ASSISTANT ...

  7. Decision tree learning - Wikipedia

    en.wikipedia.org/wiki/Decision_tree_learning

    A decision tree or a classification tree is a tree in which each internal (non-leaf) node is labeled with an input feature. The arcs coming from a node labeled with an input feature are labeled with each of the possible values of the target feature or the arc leads to a subordinate decision node on a different input feature.

  8. Decision tree model - Wikipedia

    en.wikipedia.org/wiki/Decision_tree_model

    Decision Tree Model. In computational complexity theory, the decision tree model is the model of computation in which an algorithm can be considered to be a decision tree, i.e. a sequence of queries or tests that are done adaptively, so the outcome of previous tests can influence the tests performed next.

  9. Decision support system - Wikipedia

    en.wikipedia.org/wiki/Decision_support_system

    A decision support system (DSS) is an information system that supports business or organizational decision-making activities. DSSs serve the management, operations and planning levels of an organization (usually mid and higher management) and help people make decisions about problems that may be rapidly changing and not easily specified in advance—i.e., unstructured and semi-structured ...