Lambda calculus represents data using only functions
Lambda calculus represents data using only functions
Lambda calculus is a formal system that uses function abstraction and application to represent data. It operates solely on functions, without the need for variables or data structures. This makes it a powerful tool for expressing computation in a concise and abstract manner.
Example
In lambda calculus, the expression (λx.x) represents a function that takes an argument x and returns it unchanged. This can be seen as a simple identity function.
Understanding lambda calculus is crucial for studying the foundations of computation and for exploring alternative models of computation.
the do-calculus does: computes interventional probabilities from observational data
Do-calculus computes interventional probabilities from observational data
Monad (functional programming)
Monads are a type constructor with two operations: return and bind
the Y combinator does: enables recursion in languages without named functions
The Y combinator allows anonymous functions to call themselves recursively
parametric polymorphism does: a function works for any type T without knowing what T is
Generics: A function template works for any type T without knowing T's specific type
Encoder vs decoder: encoder sees all tokens bidirectionally, decoder sees only past tokens
Encoder: Sees all tokens bidirectionally; Decoder: Sees only past tokens
Rate-distortion theory: minimum bits to represent data within distortion D
Rate-distortion theory: minimum bits to represent data within distortion D = R(D)
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