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  2. Machine code - Wikipedia

    en.wikipedia.org/wiki/Machine_code

    v. t. e. Machine language monitor in a W65C816S single-board computer, displaying code disassembly, as well as processor register and memory dumps. In computer programming, machine code is computer code consisting of machine language instructions, which are used to control a computer's central processing unit (CPU).

  3. Assembly language - Wikipedia

    en.wikipedia.org/wiki/Assembly_language

    In computer programming, assembly language (alternatively assembler language or symbolic machine code), often referred to simply as assembly and commonly abbreviated as ASM or asm, is any low-level programming language with a very strong correspondence between the instructions in the language and the architecture's machine code instructions.

  4. Low-level programming language - Wikipedia

    en.wikipedia.org/wiki/Low-level_programming_language

    Low-level programming language. A low-level programming language is a programming language that provides little or no abstraction from a computer's instruction set architecture —commands or functions in the language map that are structurally similar to processor's instructions. Generally, this refers to either machine code or assembly language.

  5. Computer programming - Wikipedia

    en.wikipedia.org/wiki/Computer_programming

    Machine code was the language of early programs, written in the instruction set of the particular machine, often in binary notation. Assembly languages were soon developed that let the programmer specify instructions in a text format (e.g., ADD X, TOTAL), with abbreviations for each operation code and meaningful names for specifying addresses.

  6. 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. Recently, artificial neural networks have been able to surpass many previous approaches in performance.

  7. 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. 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 ...

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