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Comparison of nominal sizes of apertures of the above extremely large telescopes and some notable optical telescopes. An extremely large telescope (ELT) is an astronomical observatory featuring an optical telescope with an aperture for its primary mirror from 20 metres up to 100 metres across, [1] [2] when discussing reflecting telescopes of optical wavelengths including ultraviolet (UV ...
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]
Science is a systematic discipline that builds and organises knowledge in the form of testable hypotheses and predictions about the universe. [1] [2] Modern science is typically divided into two or three major branches: [3] the natural sciences (e.g., physics, chemistry, and biology), which study the physical world; and the social sciences (e.g., economics, psychology, and sociology), which ...
Physical cosmology – the study of the largest-scale structures and dynamics of the universe and is concerned with fundamental questions about its formation and evolution. Planetary science – the scientific study of planets (including Earth), moons, and planetary systems, in particular those of the Solar System and the processes that form them.
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98.6 °F (37.0 °C) is not the normal or average temperature of the human body. That figure comes from an 1860 study, [297] but modern research shows that the average internal temperature is 36.4 °C (97.5 °F), with small fluctuations. [298] [299] [300] The cells in the human body are not outnumbered 10 to 1 by microorganisms. The 10 to 1 ...
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In the Learning Paths methodology, a learning path is created for the entire job done by an employee. By looking at learning as a complete process rather than a single event, a learning path enables employers and employees to find new ways to drive out time, waste, and variability in training, which leads to improved results and reduced costs. [5]