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A Master of Laws (M.L. or LL.M.; Latin: Magister Legum or Legum Magister) is an postgraduate academic degree, pursued by those either holding an undergraduate academic law degree, a professional law degree, or an undergraduate degree in a related subject.
LM = ML, where the left-hand side means that M is applied first, then L, and vice versa on the right-hand side, is not a valid equation between mathematical operators, under all circumstances and for all operands. An algebraist would say that the operations do not commute. The approach taken in analysis is somewhat different.
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]
Megalitre or megaliter (ML, Ml, or Mℓ), a unit of volume; Millilitre or milliliter (mL, ml, or mℓ), a unit of volume; Millilambert (mL), a non-SI unit of luminance; Richter magnitude scale (M L), used to measure earthquakes; Megalangmuir (ML), a unit of exposure of a surface to a given chemical species (convention is 1 ML=monolayer=1 Langmuir)
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L&M is an American brand of cigarettes, currently owned and manufactured by Altria and Philip Morris International. The name comes from the tobacco company founded in 1873 called Liggett & Myers, predecessor of today's Liggett Group , by whom L&M was originally produced.
Multi-level marketing (MLM), also called network marketing [1] or pyramid selling, [2] [3] [4] is a controversial [4] and sometimes illegal marketing strategy for the sale of products or services in which the revenue of the MLM company is derived from a non-salaried workforce selling the company's products or services, while the earnings of the participants are derived from a pyramid-shaped or ...
A large language model (LLM) is a type of machine learning model designed for natural language processing tasks such as language generation.LLMs are language models with many parameters, and are trained with self-supervised learning on a vast amount of text.