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Holistic education is a movement in education that seeks to engage all aspects of the learner, including mind, body, and spirit. [1] Its philosophy, which is also identified as holistic learning theory, [2] is based on the premise that each person finds identity, meaning, and purpose in life through connections to their local community, to the natural world, and to humanitarian values such as ...
Holism is the interdisciplinary idea that systems possess properties as wholes apart from the properties of their component parts. [1] [2] [3] The aphorism "The whole is greater than the sum of its parts", typically attributed to Aristotle, is often given as a summary of this proposal. [4]
In agriculture, holistic management (from ὅλος holos, a Greek word meaning "all, whole, entire, total") is an approach to managing resources that was originally developed by Allan Savory [1] for grazing management.
Machine learning (ML) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn from data and generalize to unseen data, and thus perform tasks without explicit instructions. [1]
Kurt Friedrich Gödel (/ ˈ ɡ ɜːr d əl / GUR-dəl; [2] German: [kʊʁt ˈɡøːdl̩] ⓘ; April 28, 1906 – January 14, 1978) was a logician, mathematician, and philosopher. ...
Transfer learning (TL) is a technique in machine learning (ML) in which knowledge learned from a task is re-used in order to boost performance on a related task. [1] For example, for image classification, knowledge gained while learning to recognize cars could be applied when trying to recognize trucks.
Unsupervised learning is a framework in machine learning where, in contrast to supervised learning, algorithms learn patterns exclusively from unlabeled data. [1] Other frameworks in the spectrum of supervisions include weak- or semi-supervision, where a small portion of the data is tagged, and self-supervision.
Mathematics is a field of study that discovers and organizes methods, theories and theorems that are developed and proved for the needs of empirical sciences and mathematics itself.