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A training data set is a data set of examples used during the learning process and is used to fit the parameters (e.g., weights) of, for example, a classifier. [9] [10]For classification tasks, a supervised learning algorithm looks at the training data set to determine, or learn, the optimal combinations of variables that will generate a good predictive model. [11]
Microsoft Excel is a spreadsheet editor developed by Microsoft for Windows, macOS, Android, iOS and iPadOS.It features calculation or computation capabilities, graphing tools, pivot tables, and a macro programming language called Visual Basic for Applications (VBA).
Calculation feature and Excel integration; Optimized for project management; Advanced filter function; OmniGraffle: The Omni Group: OS X, iOS: Prezi: Prezi Inc. Web application, Windows: Presentation software that supports free form placement and zooming on a single sheet; Offers Android, iPhone and iPad applications work both offline and in ...
Commercial. Free education edition, subscription model Java MagicDraw: No Magic, a Dassault Systèmes company Windows, Windows Server, Linux, Mac OS X (Java SE 11-compatible) [12] 1998 2022-07-01 (2022x) [13] No Commercial Java Microsoft Visio: Microsoft: Windows 1992 2016 (v16.0) No Commercial Unknown Modelio: Modeliosoft (SOFTEAM Group)
This list is divided into proprietary or free software, and open source software, with several comparison tables of different product and vendor characteristics. It also includes a section of project collaboration software, which is a standard feature in collaboration platforms.
The P phase is the planning phase, which develops project goals, project objectives, budget, and schedules. The M phase is the maintenance phase, which implements life cycle maintenance with continuous improvement methods. [9] This model is gaining acceptance in the United States government as a more complete model of ADDIE.
The Software Engineering Body of Knowledge (SWEBOK (/ ˈ s w iː ˌ b ɒ k / SWEE-bok)) refers to the collective knowledge, skills, techniques, methodologies, best practices, and experiences accumulated within the field of software engineering over time.
Example of a Generic data model. [9] Generic data models are generalizations of conventional data models. They define standardized general relation types, together with the kinds of things that may be related by such a relation type. The definition of generic data model is similar to the definition of a natural language.
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