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Developing a Graphical Framework in R for Organizing Analytical Efforts
January 1 @ 6:30 pm
Date and Location subject to change
Dr. Pramod Gupta
Senior Data Scientist
Instructor, UCSC Silicon Valley Extension
*** Bring ID (e.g. Driver’s License) for eBay Security ***
6:30 Doors Open, Food & Networking
7:00 Announcements & Presentation
*** Please arrive by 7 PM due to Security ***
Over the past decade, data analytics and machine learning have emerged as an important research areas with practical applications in a range of fields, including engineering, social networking, and commerce. Many companies and researchers are using the abundant data available today to recommend purchases to consumers, predict the results of business actions and inform better decisions. Data analytics is the underlying foundation for data mining, business intelligence, and predictive analytics for the express purpose of generating useful information to support decisions. One of the principle tools for conducting statistical computing and graphics is the open source programming language R. This talk will present several different approaches to a data analysis project with an emphasis on developing the right framework for organizing an analytical effort. Inclusive will be covered several graphing and visualization tools that can be used to better make sense of the data and to present findings and results.
Pramod Gupta, Ph.D., has over 15 years of experience in industrial, academic and R&D settings. His areas of expertise include controls, simulation and modeling, estimation, robotics, machine learning, data modeling, data analysis, predictive analytics and performance analysis of dynamical systems. Dr. Gupta has worked on analytics in the financial, transportation, power, automotive, and server industries. He has over 40 publications and is a co-organizer of international conferences.
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