Data

/əˈreɪ/

noun … “Contiguous collection of elements.”

Array is a data structure consisting of a sequence of elements stored in contiguous memory locations, each identified by an index or key. Arrays allow efficient access, insertion, and modification of elements using indices and are foundational in programming for implementing lists, matrices, and buffers. They can hold primitive types, objects, or other arrays (multidimensional arrays).

Key characteristics of Array include:

/ˈpɔɪntər/

noun … “Variable storing a memory address.”

/ˌaɪˌɛnˈtiːˈsɪksˈtɪi/

noun … “Signed 64-bit integer.”

/ˌjuːˌaɪˈɛnˈtiːˈsɪksˈtɪi/

noun … “Unsigned 64-bit integer.”

UINT64 is a fixed-size integer data type representing non-negative whole numbers ranging from 0 to 18,446,744,073,709,551,615 (2⁶⁴ − 1). Being unsigned, UINT64 does not support negative values. It is widely used in systems programming, cryptography, file offsets, and any context requiring precise, large integer representation. UINT64 is typically implemented in memory as 8 bytes, conforming to the platform's endian format.

/ˌɛs ˌdiː ˈeɪ/

noun — "the line that carries data bit by bit in serial communication."

/ˈdeɪtə trænzˈmɪʃən/

noun — "the transfer of digital or analog information between devices or systems."

/ˈvɛk.tər fiːld/

noun … “direction and magnitude at every point.”

Vector Field is a mathematical construct that assigns a vector—an entity with both magnitude and direction—to every point in a space. Vector fields are fundamental in physics, engineering, and applied mathematics for modeling phenomena where both the direction and strength of a quantity vary across a region. Examples include velocity fields in fluid dynamics, force fields in mechanics, and electromagnetic fields in physics.

/ˈbuːt.stræp/

noun … “resampling your way to reliability.”

/ɛnˈtrəpi/

noun … “measuring uncertainty in a single number.”

Entropy is a fundamental concept in information theory, probability, and thermodynamics that quantifies the uncertainty, disorder, or information content in a system or random variable. In the context of information theory, introduced by Claude Shannon, entropy measures the average amount of information produced by a stochastic source of data. Higher entropy corresponds to greater unpredictability, while lower entropy indicates more certainty or redundancy.

/ˈhɪd.ən ˈmɑːrkɒv ˈmɒd.əl/

noun … “seeing the invisible through observable clues.”

Hidden Markov Model (HMM) is a statistical model that represents systems where the true state is not directly observable but can be inferred through a sequence of observed emissions. It extends the concept of a Markov Process by introducing hidden states and probabilistic observation models, making it a cornerstone in temporal pattern recognition tasks such as speech recognition, bioinformatics, natural language processing, and gesture modeling.