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  2. Algorithm - Wikipedia

    en.wikipedia.org/wiki/Algorithm

    Algorithm. In mathematics and computer science, an algorithm ( / ˈælɡərɪðəm / ⓘ) is a finite sequence of mathematically rigorous instructions, typically used to solve a class of specific problems or to perform a computation. [1] Algorithms are used as specifications for performing calculations and data processing.

  3. Greedy algorithm - Wikipedia

    en.wikipedia.org/wiki/Greedy_algorithm

    A greedy algorithm is used to construct a Huffman tree during Huffman coding where it finds an optimal solution. In decision tree learning, greedy algorithms are commonly used, however they are not guaranteed to find the optimal solution. One popular such algorithm is the ID3 algorithm for decision tree construction.

  4. Go (programming language) - Wikipedia

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

    Go is a statically typed, compiled high-level programming language designed at Google [12] by Robert Griesemer, Rob Pike, and Ken Thompson. [4] It is syntactically similar to C, but also has memory safety, garbage collection, structural typing, [7] and CSP -style concurrency. [13]

  5. Scratch (programming language) - Wikipedia

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

    Scratch. Microsoft Windows, macOS, Linux (via renderer), HTML5 (via web browser), iOS, iPadOS, and Android. Scratch is a high-level, block-based visual programming language and website aimed primarily at children as an educational tool, with a target audience of ages 8 to 16. [8] Users on the site can create projects on the website using a ...

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  8. Euclidean algorithm - Wikipedia

    en.wikipedia.org/wiki/Euclidean_algorithm

    In mathematics, the Euclidean algorithm, [note 1] or Euclid's algorithm, is an efficient method for computing the greatest common divisor (GCD) of two integers (numbers), the largest number that divides them both without a remainder.

  9. Machine learning - Wikipedia

    en.wikipedia.org/wiki/Machine_learning

    Machine learning ( ML) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn from data and generalize to unseen data, and thus perform tasks without explicit instructions. [1]