[Legacy Report] SMC Seminar on Ten Questions for Best Practice of Data Science
IEEE North Jersey Section SMC Chapter Seminar
Ten Questions for Best Practice of Data Science
Dr. Qiong Shen
President, Big Machine Data Modeling
Time: 1:45 pm, Wednesday, Jun. 24, 2015
ECE 202, New Jersey Institute of Technology
Abstract: Year 2014 saw continued strong demand for Data Scientists or the like. Even though many schools provide systematic educations and trainings on data science, best practices in this discipline are still an evolving art mixed with science in that the nature of using machine learning methods involves best practices that are unique to this discipline. Understanding of problems involved and being able to apply appropriate technologies/methodologies will significantly improve chances of success in daily work. This seminar will discuss best practices in data science by asking and answering 10 typical questions that always emerge at different stages of data science career and individual project.
Bio-sketch: Dr. Qiong Shen graduated from NJIT in 2008 with Ph.D. degree in mechatronics - a joint program between the departments of Mechanical Engineering (ME) and Electrical & Computer Engineering (ECE) after successfully completing a National Science Foundation (NSF) awarded multi-disciplinary research project targeting at low-cost fully-automated DNA microarray fabrication. Then he worked on power systems of mission-critical facilities for 7 years and spearheaded data mining on large scale field data. In 2014, Dr. Shen co-founded a data modeling company providing predictive analytics for applications that are based on credit, real estate, and purchase behavior data. Dr. Shen is not only active in industrial areas, but also in academic activities. He is an adjunct professor at the department of ECE of NJIT. He has published 24 journal and conference papers. He also co-owns a U.S. patent and co-authored two books on model-based approaches to traditional engineering subjects. His research interests include Robotics and Automation, Numerical Optimization and Simulation, Machine Learning, and 3D Printing.
Contact: Mengchu Zhou, Ph.D. & Distinguished Professor, zhou@njit.edu
Direction: www.njit.edu (intersection between Summit St. and Warren
St., Newark, NJ)
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