what does this symbol mean?
The Greek capital Θ beside the small letter θ

Theta

Theta (Θ, θ) is the eighth letter of the Greek alphabet. θ marks an angle, and in statistics and machine learning it stands for a model’s unknown parameters. In computer science, a function in Θ(g) grows at approximately the same rate as g.

How to read it

Theta is said THEE-tuh in Britain and THAY-tuh in America (Cambridge Dictionary: /ˈθiː.tə/ and /ˈθeɪ.t̬ə/), with the th of “think”. Modern Greek θήτα, “Thita” in the University of Arizona’s guide, has the same unvoiced th.

Also searched as: theta letter, theta symbol, θ, Θ, θ meaning.

Capital, small and look-alike forms

FormCharacterCode pointUnicode name
CapitalΘU+0398Greek capital letter theta
SmallθU+03B8Greek small letter theta
Script thetaϑU+03D1Greek theta symbol
Capital theta symbolϴU+03F4Greek capital theta symbol

Unicode describes the script theta ϑ as used as a technical symbol. It cross-refers θ to two look-alikes: the Latin small letter barred o ɵ (U+0275) and the Cyrillic fita ѳ (U+0473).

Theta in maths and statistics

θ marks an angle: in OpenStax’s University Physics, the angle θ that a rotating particle’s position vector sweeps out is its angular position. In statistics θ is the unknown parameter of a model; Jeff Miller’s history of mathematical symbols says R. A. Fisher established that use in 1922, having already used it in a paper he wrote as an undergraduate in 1912. In computer science the capital appears in “Big-Theta” notation: f ∈ Θ(g) says f grows at least as fast and at least as slow as g, a tight bound (Carnegie Mellon University course notes).

In AI and machine learning

θ is the model’s parameters, the weights training adjusts. Stanford’s CS229 notes write a linear model as h_θ(x) = θ₀ + θ₁x₁ + θ₂x₂ and call the θs “the parameters (also called weights)”; gradient descent then updates each θⱼ by the learning rate α times the slope of the cost. PyTorch’s optimiser documentation uses the same letter, with θ₀ for the starting parameters and ∇_θ for the gradient with respect to them (Nabla (∇)).

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Sources

Last reviewed September 30, 2026 by Rory Hansen. How we research

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