Name: Scalable Data Science using Apache Spark
Start: 2015-06-10T18:30:00-05:00
End: 2015-06-10T19:30:00-05:00
Location: Loyola University Water Tower Campus, Beane Ballroom (13th Floor, Lewis Towers)

About the Talk

This talk will discuss what it means to do scalable data science and how the distributed programming framework can effectively support it. An overview of the key features of Spark will be illustrated through live demos of practical data science use cases. Also, discussed will be the areas for further improvement to make scalable data science even more accessible.

About the Speaker

http://photos3.meetupstatic.com/photos/event/9/c/1/4/600_435639956.jpeg

Satyendra Rana, PhD

Dr. Satyendra Rana is the founding co-director of the Big Data & Business Analytics Group at Wayne State University, Detroit, Michigan and organizes an annual symposium to discuss topical issues in Big Data & Business Analysis. Dr. Rana is also the CTO of a newly founded company Loven Systems focused on research & development in the big data analytics space. Loven Systems is currently developing an innovative platform based on a cognitive foundation integrating machine learning, semantic technologies, optimization, and data visualization techniques in a unified framework. The platform is being implemented using distributed actor-based reactive architecture leveraging Apache Spark computing engine.

sharan

Greg Neumarke

ACM Chicago

ACM Local Network

Technology

User Experience

Machine Learning

Data Visualization

Computer Science

Data Analytics

Data Science

Predictive Analytics

Interaction Design

UX Design

High Scalability Computing

Mobile User Experience

Artificial Intelligence

User Research

Algorithms

Deep Learning

Scalable Data Science using Apache Spark

Loyola University Water Tower Campus, Beane Ballroom (13th Floor, Lewis Towers)

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Scalable Data Science using Apache Spark

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