Unsupervised Learning

Data mining methods not involving the prediction of an outcome based on training models on data where the outcome is known. Unsupervised methods include cluster analysis, association rules, outlier detection, dimension reduction and more.

The Institute for Statistics Education

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61 percent of businesses that recognize the effect of data and analytics on their core business practices say their companies either have not responded to these changes or have taken only ad hoc actions rather than developing a comprehensive, long-term strategy for analytics.
83 percent of enterprise executives say they’ve pursued big data projects to gain a competitive advantage.
Analytics leaders are nearly twice as likely as others to report enacting a long-term strategy to respond to changes in core business practices.
40 percent of businesses say they need to manage unstructured data on a frequent basis.
Big data ranks 20th across 33 key technologies when businesses were asked their top technologies and initiatives strategic to business intelligence.
26 percent of businesses say data and analytics have significantly changed the nature of industry-wide competition.
Content analytics usage among IT professionals increased from 43 percent to 54 percent between January 2018 and January 2019.
29 percent of investment professionals use expert networks to derive data.
70 percent of investment professionals use “alternative data” or plan to do so in the next year.
21 percent of investment professionals use web traffic to derive data.

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