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What is data classification and why do we need it? Organisations have long organised data by function or “descriptive classifier”, such as whether it is an HR file or sales records.
Ordinal regression and classification methods form a vital branch of statistical learning wherein the outcome variable possesses an inherent order. Unlike conventional classification problems, where ...
Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now The first job for many artificial ...
Classification and regression tree (CART) methods are a class of data mining techniques which constitute an alternative approach to classical regression. CART methods are frequently used in ...
CIOs and IT directors working on any project that involves data in any way are always more likely to succeed when the organisation has a clear view of the data it holds. Increasingly, organisations ...
This online data science course will explore concepts in statistical modeling, such as when to use certain models, how to tune those models, and determining whether other options will provide certain ...
Motivated by the significant advances in integer optimization in the past decade, we introduce mixed-integer optimization methods to the classical statistical problems of classification and regression ...
CHUNMING ZHANG, YUAN JIANG, YI CHAI, Penalized Bregman divergence for large-dimensional regression and classification, Biometrika, Vol. 97, No. 3 (SEPTEMBER 2010), pp. 551-566 ...
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