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Setting your data science team up for success: 3 critical considerations

On Aug 18, 2020
@VentureBeat shared
Setting your data science team up for success: 3 critical considerations (Sponsored) https://t.co/wA7QefH3L9
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Data scientists are hybrids: neither fully “business” nor fully “technical,” they combine elements of both, along with classic scientific inquiry.

venturebeat.com
On Aug 18, 2020
@VentureBeat shared
Setting your data science team up for success: 3 critical considerations (Sponsored) https://t.co/wA7QefH3L9
Open

Setting your data science team up for success: 3 critical considerations

Setting your data science team up for success: 3 critical considerations

Data scientists are hybrids: neither fully “business” nor fully “technical,” they combine elements of both, along with classic scientific inquiry.

Kubernetes: The key ingredient IT needs to accelerate today’s data science

Kubernetes: The key ingredient IT needs to accelerate today’s data science

Kubernetes has increasingly becomel part of the fabric that data scientists need to run optimal applications in the most powerful ways.

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Tools fill gaps in predictive modeling and machine learning

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More companies are looking to build operational business models based on newly gathered data, employing predictive modeling and machine learning. Data science toolmakers now adapt their ...

4 Predictions for Data Science in 2018

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In short, time spent developing high-quality reusable software tools translates to less time writing and publishing, which under the current system translates to little hope for academic ...

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It should come as no surprise that demand for folks with data science expertise exceeds supply. In fact, according to some McKinsey, there are only half

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It's important to realize that the fundamentals of data science are not complicated, even if the details require an advanced degree.