What’s next for predicative analytics? — GCN


See on Scoop.itData Nerd’s Corner

Increasingly, the technology is being used for retention analysis, fraud detection, medical diagnosis and risk assessment in both the public and private sectors.

Carla Gentry CSPO‘s insight:

Although the top three predicative analytics techniques are linear regression, decision trees and clustering, others have become more widely used. These include time series data analysis, which can be applied to weather observations, stock market prices, and machine-generated data; machine learning, which can uncover previously unknown patterns in data; and ensemble modeling, in which predictions from a group of models are used to generate more accurate results.

See on gcn.com

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