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One of the unanticipated consequences of digitization has been data feudalism. A major reason data feudalism was such a surprise was that society just didn’t anticipate how quickly online services could scale, or how…Continue
Used in unsupervised machine learning tasks, Topic Modeling is treated as a form of tagging and primarily used for information retrieval wherein it helps in query expansion. It is vastly used in mapping user preference in topics across search engineers. The main applications of Topic Modeling are classification, categorization, summarization of…Continue
Regression testing is a process of testing the software and analyzing whether the change of code, update, or improvements of the application has not affected the software’s existing functionality.
"Thus learning is not possible without inductive bias, and now the question is how to choose the right bias. This is called…Continue
We knew intuitively that companies that have digital technologies and AI at their core have fared better in the pandemic.
But now, there appears to be some evidence of this as per research by the Boston Consulting Group
The BCG calls these resilient companies by an odd name: ‘Bionic companies’ which can be described by a…Continue
It is often said that data science jobs are for seasoned professionals, and many job ads still show a preference for a profile with a PhD, with years of experience. Yet, many corporate employers have been disillusioned about the value that a PhD brings to the company. Likewise, many professionals, especially among those who just completed a PhD and…Continue
SAP BW Data Mining serves as a process design platform for a wide variety of analyses either based on the data mining methods (either supplied by SAP as built-in with SAP BW Data Mining or supplied by certified vendors), or based on “non-scientific” transformations (joins and unions of data tables, sorting and filtering of data,…Continue