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John Rollins
Data Scientist, IBM Analytics, IBM

John B. Rollins, Ph.D., P.E., is a Data Scientist, IBM Analytics, IBM. Prior to joining IBM Netezza, he was an engineering consultant, professor and researcher. He has authored many patents, papers and books. He holds doctoral degrees in economics and petroleum engineering and is a registered professional engineer in Texas.

Why we need a methodology for data science

Why we need a methodology for data science

August 24, 2015 | by John Rollins, Data Scientist, IBM Analytics, IBM
No less than traditional scientists, data scientists need a guiding strategy for solving problems. Such a methodology should directly address the problem at hand and should provide a framework for obtaining answers and results. Learn more about the Foundational Methodology for Data Science and how...

Data Mining and Statistical Modeling: Is there a real difference?

July 26, 2011 | by John Rollins, Data Scientist, IBM Analytics, IBM
A recurring question and point of debate in the realm of analytics is whether there exists any meaningful difference between data mining and statistics.  (Text mining or text analytics is not addressed here, although this area of unstructured or semi-structured data analysis has certain...

Can In-Database Analytics contribute to Manufacturing QA?

May 10, 2011 | by John Rollins, Data Scientist, IBM Analytics, IBM
All too often, the morning news brings us a headline about another potentially catastrophic failure in a manufacturing part or process, such as the recent mid-flight airliner fuselage crack or tire failures associated with vehicle rollovers.  Certainly, manufacturers have many processes in place to...