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  2. Component-based software engineering - Wikipedia

    en.wikipedia.org/wiki/Component-based_software...

    Component-based software engineering (CBSE), also called component-based development (CBD), is a style of software engineering that aims to construct a software system from components that are loosely-coupled and reusable. This emphasizes the separation of concerns among components. [1] [2]

  3. List of unsolved problems in computer science - Wikipedia

    en.wikipedia.org/wiki/List_of_unsolved_problems...

    The dynamic optimality conjecture: Do splay trees have a bounded competitive ratio?; Can a depth-first search tree be constructed in NC?; Can the fast Fourier transform be computed in o(n log n) time?

  4. Byju's - Wikipedia

    en.wikipedia.org/wiki/Byju's

    Byju's is an education tutoring app that runs on a freemium model, [30] with free access to content limited for 15 days after the registration. [30] [31] It was launched in August 2015, [32] offering educational content for students from classes 4 to 12. [33]

  5. scikit-learn - Wikipedia

    en.wikipedia.org/wiki/Scikit-learn

    scikit-learn (formerly scikits.learn and also known as sklearn) is a free and open-source machine learning library for the Python programming language. [3] It features various classification, regression and clustering algorithms including support-vector machines, random forests, gradient boosting, k-means and DBSCAN, and is designed to interoperate with the Python numerical and scientific ...

  6. Binary decision diagram - Wikipedia

    en.wikipedia.org/wiki/Binary_decision_diagram

    The left figure below shows a binary decision tree (the reduction rules are not applied), and a truth table, each representing the function (,,).In the tree on the left, the value of the function can be determined for a given variable assignment by following a path down the graph to a terminal.

  7. Training, validation, and test data sets - Wikipedia

    en.wikipedia.org/wiki/Training,_validation,_and...

    A training data set is a data set of examples used during the learning process and is used to fit the parameters (e.g., weights) of, for example, a classifier. [9] [10]For classification tasks, a supervised learning algorithm looks at the training data set to determine, or learn, the optimal combinations of variables that will generate a good predictive model. [11]

  8. Bag-of-words model - Wikipedia

    en.wikipedia.org/wiki/Bag-of-words_model

    Additionally, for the specific purpose of classification, supervised alternatives have been developed to account for the class label of a document. [4] Lastly, binary (presence/absence or 1/0) weighting is used in place of frequencies for some problems (e.g., this option is implemented in the WEKA machine learning software system).

  9. Extramarks - Wikipedia

    en.wikipedia.org/wiki/Extramarks

    Extramarks Education is an Indian education technology company, that provides online and offline schooling and curricula. [1] [2] [3] It was founded in 2007 by Atul Kulshrestha, the company is headquartered in Noida, India.