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  2. Logarithm - Wikipedia

    en.wikipedia.org/wiki/Logarithm

    Because log(x) is the sum of the terms of the form log(1 + 2 −k) corresponding to those k for which the factor 1 + 2 −k was included in the product P, log(x) may be computed by simple addition, using a table of log(1 + 2 −k) for all k. Any base may be used for the logarithm table. [53]

  3. Decimal degrees - Wikipedia

    en.wikipedia.org/wiki/Decimal_degrees

    Decimal degrees (DD) is a notation for expressing latitude and longitude geographic coordinates as decimal fractions of a degree.DD are used in many geographic information systems (GIS), web mapping applications such as OpenStreetMap, and GPS devices.

  4. Repeating decimal - Wikipedia

    en.wikipedia.org/wiki/Repeating_decimal

    A repeating decimal or recurring decimal is a decimal representation of a number whose digits are eventually periodic (that is, after some place, the same sequence of digits is repeated forever); if this sequence consists only of zeros (that is if there is only a finite number of nonzero digits), the decimal is said to be terminating, and is not considered as repeating.

  5. Slide rule - Wikipedia

    en.wikipedia.org/wiki/Slide_rule

    log-log folded and scales, for working with logarithms of any base and arbitrary exponents. 4, 6, or 8 scales of this type are commonly seen. Ln linear scale used along with the C and D scales for finding natural (base e {\displaystyle e} ) logarithms and e x {\displaystyle e^{x}}

  6. Nano- - Wikipedia

    en.wikipedia.org/wiki/Nano-

    Nano (symbol n) is a unit prefix meaning one billionth.Used primarily with the metric system, this prefix denotes a factor of 10 −9 or 0.000 000 001.It is frequently encountered in science and electronics for prefixing units of time and length.

  7. Log-normal distribution - Wikipedia

    en.wikipedia.org/wiki/Log-normal_distribution

    The log-normal distribution has also been associated with other names, such as McAlister, Gibrat and Cobb–Douglas. [4] A log-normal process is the statistical realization of the multiplicative product of many independent random variables, each of which is positive.

  8. Significant figures - Wikipedia

    en.wikipedia.org/wiki/Significant_figures

    Eliminate ambiguous or non-significant zeros by using Scientific Notation: For example, 1300 with three significant figures becomes 1.30 × 10 3. Likewise 0.0123 can be rewritten as 1.23 × 10 −2. The part of the representation that contains the significant figures (1.30 or 1.23) is known as the significand or mantissa.

  9. Learning rate - Wikipedia

    en.wikipedia.org/wiki/Learning_rate

    While the descent direction is usually determined from the gradient of the loss function, the learning rate determines how big a step is taken in that direction. A too high learning rate will make the learning jump over minima but a too low learning rate will either take too long to converge or get stuck in an undesirable local minimum.