Foula Vagena
April 7, 4pm
online (zoom)
Abstract
Data science is the area of study which involves extracting insights from data using various scientific methods, algorithms, and processes. In this tutorial we will explain the need for data science and provide an overview of the field, its main components, the opportunities that it creates as well as its major challenges. We will then describe the main steps of performing data science starting from an analytics problem up to the point of communicating the results. We will then summarize applications where data science has traditionally been employed and provide examples of data science popular tools. The tutorial will conclude with an illustrative hands-on example of the data science process.
The hands-on workshop will focus on Image Analysis + Segmentation using a pre-trained Mask R-CNN model.
Dr Foula Vagena
(Université Paris Cité, diiP)
Zografoula Vagena is a research associate at the Data Intelligence Institute of Paris (diiP) and affiliated with the Université Paris Cité. She has been a data science researcher and practitioner for over ten years. She has worked on different analytics problems including forecasting, image processing, graph analytics, multidimensional data analysis, text processing, recommendation systems, sequential data analysis and optimization within various fields such as transportation, healthcare, retail, finance/insurance and accounting. She has also performed research in the intersection of data management and analytics, and was a primary contributor of the MCDB/SimSQL systems that blended data management with Bayesian statistics. She holds a PhD in data management from the University of California, Riverside.
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