Deep Learning vs. Machine Learning for Business Outcomes: A Data Scientist's Perspective - insideBIGDATA

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In this special guest feature, Arvin Hsu, Senior Director of Data Science and Machine Learning for GoodData, discusses that despite the two terms being used interchangeably, deep learning and machine learning are very different in terms of the business problems they solve and the outcomes they enable. Arvin has over 15 years of experience in the field of Data Science and Data Modeling, including 6 years building Machine Learning based data products with both enterprise companies like Disney and startups. He's passionate about the innovations being created at the intersection of Big Data, Machine Learning, and Enterprise Data. He's also fascinated by how new technology will merge with ancient wisdoms to shift the way the world works. As artificial intelligence (AI) works its way into mainstream business practices, various different applications are coming up in conversations about how to best leverage the technology.

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