One of the primary advantages of using autoencoders over other dimensionality techniques likeprincipal component analysis (PCA)is that autoencoders can capture complexnon-linearcorrelations. Accordingly, the activation functions used in autoencoders are typically non-linear functions like the sigmoid func...
Multivariate Anomaly DetectionDetect anomalies in multiple variables with correlations, which are usually gathered from equipment or other complex system. The underlying model used is a Graph Attention Network. Univariate Anomaly Detection The Univariate Anomaly Detector API enables you to monitor and detec...
This chapter describes what a correlation machine is as well as the types of correlations machines. Correlations machines considered in this chapter are the auto-associative memory machine trained using genetic algorithm (GA), Expectation Maximization (EM) trained Gaussian mixed models and the ...
Similar to customer NPS, the eNPS survey question is: “On a scale of 0–10, how likely are you to recommend [your company name] as a place to work?” Likewise, responses to the eNPS are categorized as follows: 9–10 (promoters): very satisfied employees, happy and motivated, who may...
ground truth. For example, an unsupervisedassociation modelcould power an e-commerce recommendation engine by learning which products are frequently purchased together. The utility of the model is not derived from replicating human predictions, but from discovering correlations not apparent to human ...
ask how big data supports and enables your top business and IT priorities. Examples include understanding how to filter web logs to understand ecommerce behavior, deriving sentiment from social media and customer support interactions, and understanding statistical correlation methods and their relevance fo...
First, an auto-correlationRηof a 322-km2tile of ASTER topographyη(λ, ϕ) (whereλis longitude andϕis latitude) is created using FFT (blue-red shaded fields in Supplementary Fig.S1f&n). The two largest modes are omitted so that any broad, non-dune slopes in the topography do ...
For organizations needing efficient and comprehensive management of big data, theOracle Cloud Infrastructure (OCI) Big Data platformprovides a wide range of capabilities with an exceptional price-to-performance ratio. With big data tools integrated natively, OCI is a fully managed, autoscale capable,...
Autocorrelation is the degree of correlation of a variable's values over time. Multicollinearity occurs when independent variables are correlated and one can be predicted from the other. An example of autocorrelation includes measuring the weather for a city on June 1 and the weather for the same ...
Correlation, in the finance and investment industries, is a statistic that measures the degree to which two securities move in relation to each other. Correlations are used in advancedportfolio management, computed as thecorrelation coefficient, which has a value that must fall between -1.0 and +...