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  2. Associative array - Wikipedia

    en.wikipedia.org/wiki/Associative_array

    add a new (,) pair to the collection, mapping the key to its new value. Any existing mapping is overwritten. The arguments to this operation are the key and the value. Remove or delete remove a (,) pair from the collection, unmapping a given key from its value. The argument to this operation is the key.

  3. Hash table - Wikipedia

    en.wikipedia.org/wiki/Hash_table

    An associative array stores a set of (key, value) pairs and allows insertion, deletion, and lookup (search), with the constraint of unique keys. In the hash table implementation of associative arrays, an array A {\displaystyle A} of length m {\displaystyle m} is partially filled with n {\displaystyle n} elements, where m ≥ n {\displaystyle m ...

  4. Key–value database - Wikipedia

    en.wikipedia.org/wiki/Keyvalue_database

    A tabular data card proposed for Babbage's Analytical Engine showing a keyvalue pair, in this instance a number and its base-ten logarithm. A keyvalue database, or keyvalue store, is a data storage paradigm designed for storing, retrieving, and managing associative arrays, and a data structure more commonly known today as a dictionary or hash table.

  5. Name–value pair - Wikipedia

    en.wikipedia.org/wiki/Name–value_pair

    A name–value pair, also called an attribute–value pair, keyvalue pair, or field–value pair, is a fundamental data representation in computing systems and applications. Designers often desire an open-ended data structure that allows for future extension without modifying existing code or data.

  6. Cryer scores 22 points and No. 15 Houston defeats Troy 62-42

    www.aol.com/cryer-scores-22-points-no-031725873.html

    L.J. Cryer scored 22 points and had six 3-pointers, and No. 15 Houston used a strong defensive effort to beat Troy 62-42 on Tuesday night. Cryer scored 16 points in the first half on 6-of-9 ...

  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. Colorado Parents Praise 8-Year-Old Son with Down Syndrome for ...

    www.aol.com/colorado-parents-praise-8-old...

    An 8-year-old boy with Down syndrome became a hero after he alerted his 14-year-old sister of a fire in their Colorado home, helping them get out on time before it was engulfed in flames.

  9. Pregnant Gisele Bündchen Says There's 'No Perfect Roadmap to ...

    www.aol.com/pregnant-gisele-b-ndchen-says...

    Related: Pregnant Gisele Bündchen Debuts Her Baby Bump After News She's Expecting Baby No. 3 "Each day presents the opportunity to choose habits that nourish your body, uplift your spirit, and ...