Mikio Braun explains why, in practice, hardcore data science is not just about learning methods but also about bringing these methods to production. This does not mean simply reimplementing methods in production systems. Rather, you must successfully deal with issues like data updates, cultural differences between data science and developers, and how to monitor and test in practice.
Mikio Braun is a principal engineer for search at Zalando, one of Europe’s biggest fashion platforms. He worked in research for a number of years before becoming interested in putting research results to good use in the industry. Mikio holds a PhD in machine learning.
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