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Data science vs data analytics: Unpacking the differences

IBM Big Data Hub

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

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Data science vs. machine learning: What’s the difference?

IBM Big Data Hub

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is data science? This post will dive deeper into the nuances of each field.

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Great Data Scientists Don’t Just Think Outside the Box, They Redefine the Box

Bill Schmarzo - Dell EMC

Most of these 260+ variables have incomplete or sparse data, the collection timing doesn’t always line up nice and neat, and getting time continuity across the devices is a major challenge. Figure 5: Using RNN’s to Identify Shapes and Patterns Buried in the Telemetry Data. Michael holds U.S.

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GUEST ESSAY: The story behind how DataTribe is helping to seed ‘Cybersecurity Valley’ in Maryland

The Last Watchdog

GCIS was a Davos-level conference with no vendors and no selling, where scores of chief security information officers (CISOs), top CEO’s, industry and government thought leaders and leading innovators discussed the myriad challenges in and around cybersecurity and possible solutions in today’s environment.

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The Third Modern Data Management Summit: Making Data Work!

Reltio

The third Modern Data Management annual summit ( #DataDriven19 ) held on February 26-27 2019 attracted more than 400 business and IT professionals getting together in San Francisco to witness the future of data management, share success stories and learn best practices. This year’s theme was “ Organize Master Data.

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How to build a successful AI strategy

IBM Big Data Hub

By giving machines the growing capacity to learn, reason and make decisions, AI is impacting nearly every industry, from manufacturing to hospitality, healthcare and academia. And since technology evolves so rapidly, the strategy should allow the organization to adapt to new technologies and shifts in the industry.

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Anomaly detection in machine learning: Finding outliers for optimization of business functions

IBM Big Data Hub

Anomalies are not inherently bad, but being aware of them, and having data to put them in context, is integral to understanding and protecting your business. The challenge for IT departments working in data science is making sense of expanding and ever-changing data points.