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Eric Mazur. Eric Mazur (born November 14, 1954) is a physicist and educator at Harvard University, [1] and an entrepreneur in technology start-ups for the educational and technology markets. [2] [3] Mazur's research is in experimental ultrafast optics, condensed matter physics and peer instruction. [4] [5] Born in Amsterdam, Netherlands, he ...
Learning analytics as an application of data science. In 2017, Gašević, Коvanović, and Joksimović proposed a consolidated model of learning analytics. The model posits that learning analytics is defined at the intersection of three disciplines: data science, theory, and design.
Catalysis. A range of industrial catalysts in pellet form. An air filter that uses a low-temperature oxidation catalyst to convert carbon monoxide to less toxic carbon dioxide at room temperature. It can also remove formaldehyde from the air. Catalysis ( / kəˈtæləsɪs /) is the increase in rate of a chemical reaction due to an added ...
Gary King (born December 8, 1958) is an American political scientist and quantitative methodologist. He is the Albert J. Weatherhead III University Professor and Director for the Institute for Quantitative Social Science at Harvard University. King and his research group develop and apply empirical methods in many areas of social science ...
Catalytic cycle. In chemistry, a catalytic cycle is a multistep reaction mechanism that involves a catalyst. [1] The catalytic cycle is the main method for describing the role of catalysts in biochemistry, organometallic chemistry, bioinorganic chemistry, materials science, etc. Since catalysts are regenerated, catalytic cycles are usually ...
Catalytic reforming is a chemical process used to convert petroleum refinery naphthas distilled from crude oil (typically having low octane ratings) into high-octane liquid products called reformates, which are premium blending stocks for high-octane gasoline. The process converts low-octane linear hydrocarbons (paraffins) into branched alkanes ...
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Learning classifier systems, or LCS, are a paradigm of rule-based machine learning methods that combine a discovery component (e.g. typically a genetic algorithm) with a learning component (performing either supervised learning, reinforcement learning, or unsupervised learning ). [2] Learning classifier systems seek to identify a set of context ...
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