Presented By O’Reilly and Cloudera
Make Data Work
21–22 May 2018: Training
22–24 May 2018: Tutorials & Conference
London, UK
Rashed Iqbal

Rashed Iqbal
Adjunct Professor, Data Science , UCLA

Website

Rashed Iqbal is a program manager for data solutions at Teledyne Technologies in California as well as an adjunct professor in the Economics Department at UCLA, where he teaches graduate courses in data science. Rashed also teaches a course on deep learning and natural language processing and understanding at UC Irvine. His current area of research is narrative economics, which studies the impact of popular narratives and stories on economic fluctuations. He believes narrative extraction will revolutionize process of human communication. His other areas of interest and expertise include data science, machine learning, and transitioning traditional organizations to Agile and Lean methods. Rashed has led multiple entrepreneurial ventures in these areas. He holds a PhD in systems engineering with a focus on stochastic and predictive systems as well as current CSM, CSP, PMI-ACP, and PMP certifications. He is a senior member of the IEEE.

Sessions

16:35–17:15 Wednesday, 23 May 2018
Narrative extraction: Analyzing the world’s narratives through natural language understanding
Data science and machine learning
 Location: Capital Suite 10/11 Level: Non-technical
Secondary topics:  Text and Language processing and analysis
Naveed Ghaffar (Narrative Economics), Rashed Iqbal (UCLA)
Average rating: ***..
(3.67, 3 ratings)
Narratives are significant vectors of rapid change in culture, economic behavior, and the Zeitgeist of a society. Narrative economics studies the impact of popular human-interest stories on economic fluctuations. Naveed Ghaffar and Rashed Iqbal outline a framework that uses natural language understanding to extract and analyze narratives in human communication. Read more.