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  2. Strongly typed identifier - Wikipedia

    en.wikipedia.org/wiki/Strongly_typed_identifier

    A UML class diagram for a strongly typed identifier. A strongly typed identifier is user-defined data type which serves as an identifier or key that is strongly typed.This is a solution to the "primitive obsession" code smell as mentioned by Martin Fowler.

  3. Approximate string matching - Wikipedia

    en.wikipedia.org/wiki/Approximate_string_matching

    The closeness of a match is measured in terms of the number of primitive operations necessary to convert the string into an exact match. This number is called the edit distance between the string and the pattern. The usual primitive operations are: [1] insertion: cot → coat; deletion: coat → cot

  4. Hash function - Wikipedia

    en.wikipedia.org/wiki/Hash_function

    The theoretical worst case is the probability that all keys map to a single slot. The practical worst case is the expected longest probe sequence (hash function + collision resolution method). This analysis considers uniform hashing, that is, any key will map to any particular slot with probability 1/m, a characteristic of universal hash functions.

  5. Type inference - Wikipedia

    en.wikipedia.org/wiki/Type_inference

    Type inference on the map function proceeds as follows. map is a function of two arguments, so its type is constrained to be of the form a-> b-> c. In Haskell, the patterns [] and (first: rest) always match lists, so the second argument must be a list type: b = [d] for some type d.

  6. Binary-to-text encoding - Wikipedia

    en.wikipedia.org/wiki/Binary-to-text_encoding

    The best-known is the string "From " (including trailing space) at the beginning of a line, used to separate mail messages in the mbox file format. By using a binary-to-text encoding on messages that are already plain text, then decoding on the other end, one can make such systems appear to be completely transparent. This is sometimes referred ...

  7. Hamming (7,4) - Wikipedia

    en.wikipedia.org/wiki/Hamming(7,4)

    As mentioned above, rows 1, 2, and 4 of G should look familiar as they map the data bits to their parity bits: p 1 covers d 1, d 2, d 4; p 2 covers d 1, d 3, d 4; p 3 covers d 2, d 3, d 4; The remaining rows (3, 5, 6, 7) map the data to their position in encoded form and there is only 1 in that row so it is an identical copy.

  8. Word2vec - Wikipedia

    en.wikipedia.org/wiki/Word2vec

    Word2vec is a technique in natural language processing (NLP) for obtaining vector representations of words. These vectors capture information about the meaning of the word based on the surrounding words.

  9. Comparison of data-serialization formats - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_data...

    UTF-8-encoded, preceded by 32-bit integer length of string in bytes Vectors of any other type, preceded by 32-bit integer length of number of elements Tables (schema defined types) or Vectors sorted by key (maps / dictionaries) Ion [18] \x0f [b]