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  2. Wide and narrow data - Wikipedia

    en.wikipedia.org/wiki/Wide_and_narrow_data

    The pandas package in Python implements this operation as "melt" function which converts a wide table to a narrow one. The process of converting a narrow table to wide table is generally referred to as "pivoting" in the context of data transformations.

  3. Data dictionary - Wikipedia

    en.wikipedia.org/wiki/Data_dictionary

    The terms data dictionary and data repository indicate a more general software utility than a catalogue. A catalogue is closely coupled with the DBMS software. It provides the information stored in it to the user and the DBA, but it is mainly accessed by the various software modules of the DBMS itself, such as DDL and DML compilers, the query optimiser, the transaction processor, report ...

  4. Tensor reshaping - Wikipedia

    en.wikipedia.org/wiki/Tensor_reshaping

    This reshaping is sometimes called matrixizing, matricizing, flattening or unfolding in the literature. A standard choice for the bijections μ 1 , μ 2 {\displaystyle \mu _{1},\ \mu _{2}} is the one that is consistent with the reshape function in Matlab and GNU Octave, namely

  5. Relationships 5.0 - Wikipedia

    en.wikipedia.org/wiki/Relationships_5.0

    Relationships 5.0: How AI, VR, and Robots Will Reshape Our Emotional Lives is a 2022 book by Israeli sociologist Elyakim Kislev. The book explores how emerging technologies, such as AI, VR, and robots, are reshaping human relationships and emotional lives in the 21st century.

  6. Bone remodeling - Wikipedia

    en.wikipedia.org/wiki/Bone_remodeling

    Bone tissue is removed by osteoclasts, and then new bone tissue is formed by osteoblasts. Both processes utilize cytokine (TGF-β, IGF) signalling.In osteology, bone remodeling or bone metabolism is a lifelong process where mature bone tissue is removed from the skeleton (a process called bone resorption) and new bone tissue is formed (a process called ossification or new bone formation).

  7. Sparse dictionary learning - Wikipedia

    en.wikipedia.org/wiki/Sparse_dictionary_learning

    Sparse dictionary learning (also known as sparse coding or SDL) is a representation learning method which aims to find a sparse representation of the input data in the form of a linear combination of basic elements as well as those basic elements themselves. These elements are called atoms, and they compose a dictionary.

  8. R (programming language) - Wikipedia

    en.wikipedia.org/wiki/R_(programming_language)

    R is a programming language for statistical computing and data visualization.It has been adopted in the fields of data mining, bioinformatics and data analysis. [9]The core R language is augmented by a large number of extension packages, containing reusable code, documentation, and sample data.

  9. Dynamic factor - Wikipedia

    en.wikipedia.org/wiki/Dynamic_factor

    In econometrics, a dynamic factor (also known as a diffusion index) is a series which measures the co-movement of many time series. It is used in certain macroeconomic models. A diffusion index is intended to indicate the changes of the fraction of economic data time series which increase or decrease over the selected time interval,