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 machine learning, natural language parsing, crowdsourcing and algorithm design.
Who should attend: Data scientists, statisticians, data modellers, and analysts with a strong understanding of data science fundamentals; CTOs, Chief Scientists, and academic researchers.
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