Gartner Blog Network

Tag: 'data-science' Blog Posts

from the Gartner Blog Network

Databases and Machine Learning Coalesce

by Sanjeev Mohan  |  September 14, 2020

The boundaries between data management and advanced analytics are blurring fast. Databases are enhancing capabilities to build, train and validate machine learning models right where the data sits – inside...

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Machine Learning - Shift from Modeling to Engineering

by Sumit Agarwal  |  August 21, 2020

In 2012, Harvard Business Review had published Data Scientist as the sexiest job of 21st century. In 2019, an Indeed survey had Computer Vision Engineer and Machine Learning Engineer as...

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5 Techniques to Troubleshoot a Machine Learning Model

by Sumit Agarwal  |  August 5, 2020

Troubleshooting code in C++ or Java has been fairly easy. With a plethora of tools that help with a step-by-step execution of code to thread analysis at run time to...

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Robust Machine Learning needs Data and a Lot More

by Sumit Agarwal  |  May 27, 2020

β€œIt is a capital mistake to theorize before one has data. Insensibly one begins to twist facts to suit theories, instead of theories to suit facts.” Sir Arthur Conan Doyle,...

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Operationalization is the Shibboleth of Data Science

by Peter Krensky  |  August 1, 2018

The three big trends I keep talking about in data science and machine learning are these: the explosive adoption of open source technologies, the expanded hype and adoption around non-traditional...

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