Location image of event venue


Yes, even you can create a machine learning (ML) model! Learn how in this hands-on demo with code and data we provide for you. You can watch the demo, or follow along with your own laptop, or download the code and data later and try it at home.

During this session we will write Scala code using Spark and MLIB Decision Tree and Random Forest Classifiers to create your first ML model. If you don't know Scala or these frameworks, don't worry -- the examples are easy to follow, and you'll come away better prepared to do the same thing with the language and frameworks of your choice.

Take away from the session:
(a) code on GitHub having sample code in Scala implementing MLIB classifiers
(b) code on GitHub that runs at scale within a Databricks

If you want to follow along on your laptop, you should get set up before you arrive. (We do not have wi-fi access at our meeting location.) Download the code and data from this GitHub repository:
It’s a Scala Maven project, so you can compile the code before the meetup via "mvn install".

Presenter Bios
Ahmed Ibrahim is a Principal Engineer of Technology in assurance engineering. In his role, Ahmed is responsible for assurance engineering solution architecture of market surveillance projects. His work relates to big data analytics and machine learning solutions. In his previous work, Ahmed solutioned enterprise systems for multiple international trade facilitation systems and national security systems. His interests include graph analysis and visual intelligence led investigation techniques, Ahmed received a B.Sc. in Electrical Computer Engineering in 2001.

Matthew Gillett is a Software Development Engineer in Test who is responsible for the automated testing solutions of data warehouse and data mastering applications. His work deals with the assurance of database functions/stored procedures and the comparison of large sets of data. His interests include efficient data comparison and learning new technologies. Matthew received a B.S. in Computer Science and Mathematics in 2009.

Time and Location
We will meet at TEKsystems in Linthicum. There is plenty of free parking in front of the building. Doors will open at 6:30 PM for pizza and conversation, and the presentation will start at 7:00 PM. If you get there after 7:00 and find yourself locked out, you will find our phone number posted on the front door. Call the number and someone will come to let you in. Don't be embarrassed - happens all the time.

Many thanks to our sponsor, TEKsystems, for hosting this meeting and providing pizza!