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Randomness is all around us. Its existence sends fear into the hearts of predictive analytics specialists everywhere -- if a process is truly random, then it is not predictable, in the analytic sense of that term. Randomness refers to the absence of patterns, order, coherence, and predictability in a system.
We all love features... lots of features! ...in our new cars, in our gadgets, in our smart phones, in our toys, and in our data sets!
Consider this toy that we found at the thrift store for under $6.00:
This toy house delivers numerous musical and other sound effects that are triggered whenever one of the features in the house is pressed, or…Continue
In a previous article, we defined data charaterization as a “methodology for generating descriptive parameters that describe the behavior and characteristics of a data item, for use in any unsupervised learning algorithm to find features, clusters, patterns, and trends in the data without the bias of incorporating class…Continue