What are machine learning engineers?

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We've been talking about data science and data scientists for a decade now. While there's always been some debate over what "data scientist" means, we've reached the point where many universities, online academies, and bootcamps offer data science programs: master's degrees, certifications, you name it. The world was a simpler place when we only had statistics. But simplicity isn't always healthy, and the diversity of data science programs demonstrates nothing if not the demand for data scientists. As the field of data science has developed, any number of poorly distinguished specialties have emerged.


What are machine learning engineers?

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Best price ends June 23. We've been talking about data science and data scientists for a decade now. While there's always been some debate over what "data scientist" means, we've reached the point where many universities, online academies, and bootcamps offer data science programs: master's degrees, certifications, you name it. The world was a simpler place when we only had statistics. But simplicity isn't always healthy, and the diversity of data science programs demonstrates nothing if not the demand for data scientists.


Career Comparison: Machine Learning Engineer vs. Data Scientist--Who Does What? - Springboard Blog

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There's some confusion surrounding the roles of machine learning engineer vs. data scientist, primarily because they are both relatively new. However, if you parse things out and examine the semantics, the distinctions become clear. While a scientist needs to fully understand the, well, science behind their work, an engineer is tasked with building something. But before we go any further, let's address the difference between machine learning and data science. It starts with having a solid definition of artificial intelligence.


Machine Learning Engineer vs. Data Scientist--Who Does What? - AI Trends

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The roles of machine learning engineer vs. data scientist are both relatively new and can seem to blur. However, if you parse things out and examine the semantics, the distinctions become clear. While a scientist needs to fully understand the, well, science behind their work, an engineer is tasked with building something. But before we go any further, let's address the difference between machine learning and data science. It starts with having a solid definition of artificial intelligence.


Lessons learned turning machine learning models into real products and services

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Check out the tutorial course "Model serving and management at scale using open source tools" at the Strata Data Conference in New York City, September 11-13, 2018. Hurry--best price ends June 15. Artificial intelligence is still in its infancy. Today, just 15% of enterprises are using machine learning, but double that number already have it on their roadmaps for the upcoming year. With public figures like Intel's CEO stating that every company needs a machine learning strategy or risks being left behind, it's just a matter of time before machine learning enters your organization, too--if it hasn't already.