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IT pros say tech budgets to stay strong, but mainly for big companies

CIO Business Intelligence

While a new forecast released Monday by Spiceworks/Ziff Davis said that overall IT spending will be largely unhampered by recessionary trends in the economic outlook, much of that spending will be driven by large enterprises, leaving the picture much murkier for small and medium-size businesses. Essentially, he said, recessions shouldnâ??t

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Reclaiming the stories that algorithms tell

O'Reilly on Data

In 2001, just as the Lexile system was rolling out state-wide, a professor of education named Stephen Krashen took to the pages of the California School Library Journal to raise an alarm. His system was needed because “beginning teachers and librarians” were less expert at “forecasting comprehension rates” than the algorithm was.

Risk 355
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ML internals: Synthetic Minority Oversampling (SMOTE) Technique

Domino Data Lab

The problem with this approach is that in highly imbalanced sets it can easily lead to a situation where most of the data has to be discarded, and it has been firmly established that when it comes to machine learning data should not be easily thrown out (Banko and Brill, 2001; Halevy et al., References. Banko, M., & Brill, E. Knowler, W.