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  2. Numeric precision in Microsoft Excel - Wikipedia

    en.wikipedia.org/wiki/Numeric_precision_in...

    Here the 'IEEE 754 double value' resulting of the 15 bit figure is 3.330560653658221E-15, which is rounded by Excel for the 'user interface' to 15 digits 3.33056065365822E-15, and then displayed with 30 decimals digits gets one 'fake zero' added, thus the 'binary' and 'decimal' values in the sample are identical only in display, the values ...

  3. Feature scaling - Wikipedia

    en.wikipedia.org/wiki/Feature_scaling

    It's also important to apply feature scaling if regularization is used as part of the loss function (so that coefficients are penalized appropriately). Empirically, feature scaling can improve the convergence speed of stochastic gradient descent. In support vector machines, [2] it can reduce the time to find support vectors. Feature scaling is ...

  4. Non-negative matrix factorization - Wikipedia

    en.wikipedia.org/wiki/Non-negative_matrix...

    It is useful to think of each feature (column vector) in the features matrix W as a document archetype comprising a set of words where each word's cell value defines the word's rank in the feature: The higher a word's cell value the higher the word's rank in the feature.

  5. Multiple comparisons problem - Wikipedia

    en.wikipedia.org/wiki/Multiple_comparisons_problem

    Multiple comparisons arise when a statistical analysis involves multiple simultaneous statistical tests, each of which has a potential to produce a "discovery". A stated confidence level generally applies only to each test considered individually, but often it is desirable to have a confidence level for the whole family of simultaneous tests. [ 4 ]

  6. Small multiple - Wikipedia

    en.wikipedia.org/wiki/Small_multiple

    Small multiple map series showing the trends in partisan voting margins in Utah, 1900–2012. Small multiples are a popular technique in cartographic design for multivariate mapping . As with the small multiple chart, each panel uses the same underlying two-dimensional space, but in this case that is a geographic space.

  7. Histogram - Wikipedia

    en.wikipedia.org/wiki/Histogram

    The data used to construct a histogram are generated via a function m i that counts the number of observations that fall into each of the disjoint categories (known as bins). Thus, if we let n be the total number of observations and k be the total number of bins, the histogram data m i meet the following conditions:

  8. Cortical column - Wikipedia

    en.wikipedia.org/wiki/Cortical_column

    With 50 to 100 cortical minicolumns per cortical column a human would have 2–4 million (2×10 6 –4×10 6) cortical columns. There may be more if the columns can overlap, as suggested by Tsunoda et al. [17] Jeff Hawkins claims that there are only 150,000 columns in the human neocortex, based on research made by his company Numenta. [18]

  9. Multiple exciton generation - Wikipedia

    en.wikipedia.org/wiki/Multiple_exciton_generation

    In quantum dot solar cells, the excited electron in the conduction band interacts with the hole it leaves behind in the valence band, and this composite uncharged object is known as an exciton. The carrier multiplication effect in a dot can be understood as creating multiple excitons, and is called multiple exciton generation (MEG).