Data science is a hot topic, but much of it is simply Business Intelligence in a new mantle. In this track, we push the envelope of data science, exploring emerging topics and new areas of study made possible by vast troves of raw data and cutting-edge architectures for analyzing and exploring information. We’ll cover topics such as data management, machine learning, natural language processing, crowdsourcing and algorithm design.
Who should attend: Data data scientists, data engineers, statisticians, data modellers, and analysts with a strong understanding of data science fundamentals, will find themselves at home in this tutorial, as will CTOs, Chief Scientists, and academic researchers.
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