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NC State Analytics Program
NC State Analytics Program

ETL - Temple Fox MIS
ETL - Temple Fox MIS

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... Random Forest randomForest {randomForest} randomForest implements Breiman's random forest algorithm (based on Breiman and Cutler's original Fortran code) for classification and regression. It can also be used in unsupervised mode for assessing proximities among data points. ...
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DataMIME - NDSU Computer Science

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RNA-Seq data analysis - Vanderbilt University School of Medicine

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... There are some common pitfalls in using these tools for attack detection, see “Outside the Closed World” for more details ...
Curve Fitting
Curve Fitting

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Unstructured Data integration capabilities of GIS

... Why is unstructured data important?  Unstructured data doubles every three months  7 million web pages are added every day  80% of business is conducted on unstructured information  85% of all data stored is held in an unstructured format ...
Simple Linear Regression and Correlation
Simple Linear Regression and Correlation

Luku 5 * Tietojen hakeminen sovelluksiin
Luku 5 * Tietojen hakeminen sovelluksiin

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...  Four requirements involving the distribution of e must be satisfied.  The probability distribution of e is normal.  The mean of e is zero: E(e) = 0.  The standard deviation of e is se for all values of X.  The set of errors associated with different values of Y are all independent. ...
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Forecasting

Forecasting is the process of making predictions of the future based on past and present data and analysis of trends. A commonplace example might be estimation of some variable of interest at some specified future date. Prediction is a similar, but more general term. Both might refer to formal statistical methods employing time series, cross-sectional or longitudinal data, or alternatively to less formal judgmental methods. Usage can differ between areas of application: for example, in hydrology, the terms ""forecast"" and ""forecasting"" are sometimes reserved for estimates of values at certain specific future times, while the term ""prediction"" is used for more general estimates, such as the number of times floods will occur over a long period.Risk and uncertainty are central to forecasting and prediction; it is generally considered good practice to indicate the degree of uncertainty attaching to forecasts. In any case, the data must be up to date in order for the forecast to be as accurate as possible.
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