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Knowledge-guided Data Science + Hands-On Workshop

This is diiP's first seminar delivered by Dr. Shen Liang, one of diiP's research associate. More information and material is available on our website: https://u-paris.fr/diip/diip-seminars/ abstract: This tutorial presents an overview of knowledge-guided data science, a rising methodology in machine learning which fuses data with domain knowledge. We will present numerous case studies on this methodology to showcase how to unleash its potential in real-world data science applications. short bio: Shen Liang is a research associate at the Data Intelligence Institute of Paris (diiP) and affiliated with the Université Paris Cité. He has worked on a variety of data management and mining problems including time series analysis, semi-supervised learning, knowledge-guided deep learning and GPU-accelerated computation within various fields such as healthcare, manufacturing, geosciences and astrophysics. He holds a PhD in software engineering from Fudan University, China.