XSEDE Workshop: Big Data | October 1-2

There is no doubt that “Big Data” is a very popular term today. It has impacted all areas including science, medicine, engineering, and business. Big data, coupled with powerful machine learning techniques, have already impacted our lives; this trend will continue at an accelerating rate. But what is big data exactly? How can one actually process a very large amount of data to gain insights, make predictions, drive business decisions, and propel scientific discoveries?

ODU Research Computing Services is pleased to host a FREE XSEDE Workshop on Big Data Analytics and Machine Learning:

Tuesday & Wednesday, October 1-2
11:00 a.m. to 5:00 p.m.
Learning Commons @ Perry Library, Conference Rooms 1310-1311

This workshop is presented by the Pittsburgh Supercomputing Center (PSC) and simulcast at ODU. Topics of the presentation will include:

• Introduction to Hadoop and Spark framework for ingesting and processing big data
• Introduction to machine learning techniques using Spark
• Introduction to deep learning using TensorFlow

The programming exercises use Python computer language. Bring your own laptop and expect to gain hands-on experience with several machine learning models with access to PSC’s Bridges Supercomputer.

Registration deadline is September 27. Seats are limited, so register early.  https://portal.xsede.org/course-calendar/-/training-user/class/1672/session/3048

The workshop is open to the public, but registration is required. Due to the limited number of seats available, we ask that you commit yourself to attend if you sign up. Contact hpc@odu.edu if you have questions regarding this workshop. 

NOTES:

1. To register for the workshop, you need to have an XSEDE User Portal (XUP) account. If you don’t have one, please create one first at https://portal.xsede.org/my-xsede?p_p_id=58&p_p_lifecycle=0&p_p_state=maximized&p_p_mode=view&_58_struts_action=%2Flogin%2Fcreate_account, then sign up using the short link shown above.
2. Experience in command-line interaction and computer programming (in any language) is essential to successfully participate in the workshop. You can learn Python and UNIX shell prior to the workshop. Several useful resources to learn:
   1. Programming with Python: Hands-On Introduction for Beginners -- https://www.udemy.com/python-programming-beginners/ (35 lectures, 3.5 hours total video)
   2. LearnPython.org (has embedded Python environment in the browser, no setup required)
   3. UNIX command-line Bootcamp -- http://rik.smith-unna.com/command_line_bootcamp/

BigData_workshopflyer_Oct2019_ODU.pdf  (849.3 KB)

Posted By: Dawn Midgette
Date: Tue Sep 17 16:48:48 EDT 2019