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  2. 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 ...

  3. Glossary of artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Glossary_of_artificial...

    Pronounced "A-star". A graph traversal and pathfinding algorithm which is used in many fields of computer science due to its completeness, optimality, and optimal efficiency. abductive logic programming (ALP) A high-level knowledge-representation framework that can be used to solve problems declaratively based on abductive reasoning. It extends normal logic programming by allowing some ...

  4. Machine learning - Wikipedia

    en.wikipedia.org/wiki/Machine_learning

    The term machine learning was coined in 1959 by Arthur Samuel, an IBM employee and pioneer in the field of computer gaming and artificial intelligence. [8] [9] The synonym self-teaching computers was also used in this time period.

  5. Bored at home? Here’s 10 handy tools you can build with Python

    www.aol.com/bored-home-10-handy-tools-180031373.html

    Python is one of the most used programming languages in the world, and that can be contributed to its general-purpose nature, which makes it a suitable candidate for various domains in the industry.

  6. Lazy learning - Wikipedia

    en.wikipedia.org/wiki/Lazy_learning

    In machine learning, lazy learning is a learning method in which generalization of the training data is, in theory, delayed until a query is made to the system, as opposed to eager learning, where the system tries to generalize the training data before receiving queries.

  7. Instance-based learning - Wikipedia

    en.wikipedia.org/wiki/Instance-based_learning

    Examples of instance-based learning algorithms are the k-nearest neighbors algorithm, kernel machines and RBF networks. [ 2 ] : ch. 8 These store (a subset of) their training set; when predicting a value/class for a new instance, they compute distances or similarities between this instance and the training instances to make a decision.

  8. Learning curve (machine learning) - Wikipedia

    en.wikipedia.org/wiki/Learning_curve_(machine...

    In machine learning (ML), a learning curve (or training curve) is a graphical representation that shows how a model's performance on a training set (and usually a validation set) changes with the number of training iterations (epochs) or the amount of training data. [1]

  9. A huge carpet python was caught “taking a cheeky nap” inside a vending machine at Australia Zoo, according to an Instagram video shared by Robert Irwin, son of famed zookeeper Steve Irwin.