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  2. Category:Articles with example Python (programming language ...

    en.wikipedia.org/wiki/Category:Articles_with...

    Page replacement algorithm; Pancake sorting; Parallel array; Peirce's criterion; Perfect digit-to-digit invariant; Perfect digital invariant; Ping-pong scheme; Power iteration; Prepared statement; Programming style; Property (programming) Push–relabel maximum flow algorithm; Pycassa; Pyglet; PyQt; Python (programming language) Python syntax ...

  3. 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]

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

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

    OpenML: [493] Web platform with Python, R, Java, and other APIs for downloading hundreds of machine learning datasets, evaluating algorithms on datasets, and benchmarking algorithm performance against dozens of other algorithms. PMLB: [494] A large, curated repository of benchmark datasets for evaluating supervised machine learning algorithms ...

  5. Category:Machine learning algorithms - Wikipedia

    en.wikipedia.org/wiki/Category:Machine_learning...

    Main menu. Main menu. move to sidebar hide. ... Download as PDF; Printable version; ... Pages in category "Machine learning algorithms"

  6. List of algorithms - Wikipedia

    en.wikipedia.org/wiki/List_of_algorithms

    An algorithm is fundamentally a set of rules or defined procedures that is typically designed and used to solve a specific problem or a broad set of problems.. Broadly, algorithms define process(es), sets of rules, or methodologies that are to be followed in calculations, data processing, data mining, pattern recognition, automated reasoning or other problem-solving operations.

  7. Rule induction - Wikipedia

    en.wikipedia.org/wiki/Rule_induction

    [2]: 7 A possible alternative over the ID3 algorithm is genetic programming which evolves a program until it fits to the data. [3]: 2 Creating different algorithm and testing them with input data can be realized in the WEKA software. [3]: 125 Additional tools are machine learning libraries for Python, like scikit-learn.

  8. Ensemble learning - Wikipedia

    en.wikipedia.org/wiki/Ensemble_learning

    Ensemble learning trains two or more machine learning algorithms on a specific classification or regression task. The algorithms within the ensemble model are generally referred as "base models", "base learners", or "weak learners" in literature.

  9. Boosting (machine learning) - Wikipedia

    en.wikipedia.org/wiki/Boosting_(machine_learning)

    scikit-learn, an open source machine learning library for Python; Orange, a free data mining software suite, module Orange.ensemble; Weka is a machine learning set of tools that offers variate implementations of boosting algorithms like AdaBoost and LogitBoost