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2. Data-informed decision-making - Wikipedia

   en.wikipedia.org/wiki/Data-informed_decision-making

   Data-informed decision-making (DIDM) gives reference to the collection and analysis of data to guide decisions that improve success. [1] Another form of this process is referred to as data-driven decision-making, "which is defined similarly as making decisions based on hard data as opposed to intuition, observation, or guesswork."

3. Data-driven model - Wikipedia

   en.wikipedia.org/wiki/Data-driven_model

   Data-driven models encompass a wide range of techniques and methodologies that aim to intelligently process and analyse large datasets. Examples include fuzzy logic, fuzzy and rough sets for handling uncertainty, [3] neural networks for approximating functions, [4] global optimization and evolutionary computing, [5] statistical learning theory, [6] and Bayesian methods. [7]

4. Automated decision-making - Wikipedia

   en.wikipedia.org/wiki/Automated_decision-making

   Automated decision-making involves using data as input to be analyzed within a process, model, or algorithm or for learning and generating new models. [7] ADM systems may use and connect a wide range of data types and sources depending on the goals and contexts of the system, for example, sensor data for self-driving cars and robotics, identity data for security systems, demographic and ...

5. Data-driven programming - Wikipedia

   en.wikipedia.org/wiki/Data-driven_programming

   While data-driven design does prevent coupling of data and functionality, in some cases, data-driven programming has been argued to lead to bad object-oriented design, especially when dealing with more abstract data. This is because a purely data-driven object or entity is defined by the way it is represented. Any attempt to change the ...

6. Data-driven control system - Wikipedia

   en.wikipedia.org/wiki/Data-driven_control_system

   The direct data-driven methods allow to tune a controller, belonging to a given class, without the need of an identified model of the system. In this way, one can also simply weight process dynamics of interest inside the control cost function, and exclude those dynamics that are out of interest.

7. Data-driven instruction - Wikipedia

   en.wikipedia.org/wiki/Data-driven_instruction

   Data-driven instruction is an educational approach that relies on information to inform teaching and learning. The idea refers to a method teachers use to improve instruction by looking at the information they have about their students. It takes place within the classroom, compared to data-driven decision making. Data-driven instruction works ...