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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)
ML (Meta Language) is a general-purpose, high-level, functional programming language.It is known for its use of the polymorphic Hindley–Milner type system, which automatically assigns the data types of most expressions without requiring explicit type annotations (type inference), and ensures type safety; there is a formal proof that a well-typed ML program does not cause runtime type errors. [1]
Molar concentration or molarity is most commonly expressed in units of moles of solute per litre of solution. [1] For use in broader applications, it is defined as amount of substance of solute per unit volume of solution, or per unit volume available to the species, represented by lowercase : [2]
Volume fraction, which is widely used in chemistry (commonly denoted as v/v), is defined as the volume of a particular component divided by the sum of all components in the mixture when they are measured separately. For example, to make 100 mL of 50% alc/vol ethanol solution, water would be added to 50 mL of ethanol to make up exactly 100 mL.
In machine learning and pattern recognition, a feature is an individual measurable property or characteristic of a data set. [1] Choosing informative, discriminating, and independent features is crucial to produce effective algorithms for pattern recognition, classification, and regression tasks.
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Illustration of quantum mechanical orbital angular momentum. The cones and plane represent possible orientations of the angular momentum vector for = and =,,,,.Even for the extreme values of , the -component of this vector is less than its total magnitude.