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  2. Project Jupyter - Wikipedia

    en.wikipedia.org/wiki/Project_Jupyter

    The main parts of the Jupyter Notebooks are: Metadata, Notebook format and list of cells. Metadata is a data Dictionary of definitions to set up and display the notebook. Notebook Format is a version number of the software. List of cells are different types of Cells for Markdown (display), Code (to execute), and output of the code type cells. [23]

  3. List of datasets for machine-learning research - Wikipedia

    en.wikipedia.org/wiki/List_of_datasets_for...

    Blocking procedure applied to select only certain record pairs. 5,749,132 Text Classification 2011 [485] [486] University of Mainz: Nomao Dataset Nomao collects data about places from many different sources. Task is to detect items that describe the same place. Duplicates labeled. 34,465 Text Classification 2012 [487] [488] Nomao Labs Movie Dataset

  4. Mean absolute error - Wikipedia

    en.wikipedia.org/wiki/Mean_absolute_error

    In particular, m is a sample median if and only if m minimizes the arithmetic mean of the absolute deviations. [ 7 ] More generally, a median is defined as a minimum of E ( | X − c | − | X | ) , {\displaystyle E(|X-c|-|X|),} as discussed at Multivariate median (and specifically at Spatial median ).

  5. List of RNA-Seq bioinformatics tools - Wikipedia

    en.wikipedia.org/wiki/List_of_RNA-Seq...

    RNAeXpress Can be run with Java GUI or command line on Mac, Windows, and Linux. It can be configured to perform read counting, feature detection or GTF comparison on mapped rnaseq data. Rcount Rcount: simple and flexible RNA-Seq read counting.

  6. Range of a function - Wikipedia

    en.wikipedia.org/wiki/Range_of_a_function

    Sometimes "range" refers to the image and sometimes to the codomain. In mathematics, the range of a function may refer to either of two closely related concepts: the codomain of the function, or; the image of the function. In some cases the codomain and the image of a function are the same set; such a function is called surjective or onto.

  7. Activation function - Wikipedia

    en.wikipedia.org/wiki/Activation_function

    The activation function of a node in an artificial neural network is a function that calculates the output of the node based on its individual inputs and their weights. Nontrivial problems can be solved using only a few nodes if the activation function is nonlinear .

  8. Selection limits - Wikipedia

    en.wikipedia.org/wiki/Selection_limits

    The control lines diverged somewhat by random genetic drift and possibly unique mutations, but, overall, did not change in their average phenotype from the beginning of the experiment. Both of the high-selected lines reached apparent selection limits around generation 20. Both of the low-selected reached absolute limits near zero around ...

  9. Lorenz system - Wikipedia

    en.wikipedia.org/wiki/Lorenz_system

    The partial differential equations modeling the system's stream function and temperature are subjected to a spectral Galerkin approximation: the hydrodynamic fields are expanded in Fourier series, which are then severely truncated to a single term for the stream function and two terms for the temperature. This reduces the model equations to a ...