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Home > White Papers > IBM > Practical data science tips for data engineers

Practical data science tips for data engineers

By: IBM
IBM

In the domain of data science, solving problems and answering questions through data analysis is standard practice. Data scientists experiment continuously by constructing models to predict outcomes or discover underlying patterns, with the goal of gaining new insights. But data scientists can only go so far without support.

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Published:  Jan 18, 2017
Length:  18
Type:  White Paper
Tags : 
ibm, analytics, aps data, open data science, data science, data engineers, enterprise applications



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