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Tuesday, March 28 • 9:45am - 10:30am
Machine Learning & Data Science

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What is a machine learning data scientist? Many companies struggle with the concept of what machine learning is and what it does. Machine Learning is quickly becoming a barrier to entry for a product. Companies will soon not consider a piece of software or app that does not have machine learning built into it. But Machine Learning skills are extremely hard to find.

Many companies are trying to fill the need using a regular data scientist (also hard to find). This session will discuss the necessary skill sets of a Machine Learning data scientist, the parallel data scientist skills which can be cross trained, and how to manage those people once they get the right training. It will also cover the value proposition of ML and how it applies to your business.

Speakers
avatar for Gordon Summers

Gordon Summers

Sr. Data Scientist, Contemporary Analysis
Gordon was a 20 year veteran of ConAgra foods where he spent his time overseeing their vast supply chain database warehouse. This gives Gordon advanced knowledge of how to store very large datasets and structure them in such a way to use machine learning to extract recommendations... Read More →
avatar for Nate Watson

Nate Watson

President, Contemporary Analysis
Nate is the president of Contemporary Analysis. Now in its 9th year, CAN is finding a new niche--data science as a service (data science staff augmentation). Our dream is to create the largest data science community east of Silicon Valley and to connect them through a vast data science... Read More →



Tuesday March 28, 2017 9:45am - 10:30am
Dapper III