Search results
Results from the WOW.Com Content Network
Pandas (styled as pandas) is a software library written for the Python programming language for data manipulation and analysis. In particular, it offers data structures and operations for manipulating numerical tables and time series. It is free software released under the three-clause BSD license. [2]
Software crack illustration. Software cracking (known as "breaking" mostly in the 1980s [1]) is an act of removing copy protection from a software. [2] Copy protection can be removed by applying a specific crack. A crack can mean any tool that enables breaking software protection, a stolen product key, or guessed password. Cracking software ...
Thus most DM software is based on decision analysis, usually multi-criteria decision-making, and so is often referred to as "decision analysis" [5] [6] or "multi-criteria decision-making" [4] software – commonly shortened to "decision-making software". Some decision support systems include a DM software component.
The Interactive Decision Maps technique of multi-objective optimization is based on approximating the Edgeworth-Pareto Hull (EPH) of the feasible objective set, that is, the feasible objective set broadened by the objective points dominated by it. Alternatively, this set is known as Free Disposal Hull.
The term “decision downloading” is used to set apart those special situations in which decision-makers communicate a decision that has already been made. It applies when the communicators cannot, for whatever reason, keep everyone informed in real-time about the decision-making process.
In computability theory, a system of data-manipulation rules (such as a model of computation, a computer's instruction set, a programming language, or a cellular automaton) is said to be Turing-complete or computationally universal if it can be used to simulate any Turing machine [1] [2] (devised by English mathematician and computer scientist Alan Turing).
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.
Decision tree learning is a supervised learning approach used in statistics, data mining and machine learning.In this formalism, a classification or regression decision tree is used as a predictive model to draw conclusions about a set of observations.