Using Machine Learning| Deep Learning| Algorithms|& Big Data to Innovate

How to use Machine Learning| Deep Learning| Algorithms|& Big Data to Innovate in your organization

This Event Is Sponsored By RedZone Technologies

We are very excited about our next Salon Event with Singularity University DC Chapter intended for Innovation Leaders involved with technology change, transformation, and innovation within their organizations.

We have three great Speakers to discuss practical ways to solve problems, innovate, and create new solutions in your organization using Machine Learning, Deep Learning, Algorithms and Big Data.

Date: Wednesday, November 9, 2016

Time: 11:30AM – 2:00PM
Location: Eggspectations Restaurant, Silver Spring Maryland

Food: Lunch will be served

Agenda:

11:30 Registration and Networking

12:00 - Bill Murphy

• Introductions – SU DC Chapter Ambassador

• Exponentials overview

• Chapter News and Updates

12:45 Speaker 1: John Kelly, Ph.D., Director of Analytics, QxBranch

Machine Learning and Data Analytics:

1.) Fundamentals

2.) Applications

3.) Pitfalls

4.) The future

John Kelly, Director of Analytics at QxBranch, is leading the company’s development of advanced data analytics technologies. Previously, he was the Technical Lead for Corporate Data Analytics at Lockheed Martin. John has experience applying machine learning to a diverse set of domains including healthcare, supply chain optimization, sustainment, and program management. He completed his Ph.D. in Electrical and Computer Engineering at Carnegie Mellon University, where his work focused on machine learning and signal processing algorithms for brain-computer interfaces.

Speaker 2: Dmitri Adler,Co-founder and Chief Data Scientist, Data Society

• Overview of the Agile Data Science Capability;

• Your options for developing a next-generation predictive capability:

Which technologies do you need to make your organization run smoothly?

What is the best analytic approach to overcome the challenges you are facing?

Dmitri Adler is the Co-founder and Chief Data Scientist of Data Society (http://datascociety.co/), a data science training and consulting firm. Dmitri is a former J.P. Morgan investment banker and hedge fund analyst who used data to improve investment outcomes on over $7 billion of mergers and acquisitions advisory assignments and over $315 million dollars of portfolio investments. Dmitri manages all curriculum development for Data Society and heads Data Society's predictive analytics consulting practice. Dmitri has a Bachelor of Science in Commerce with a concentration in Finance from the McIntire School of Commerce at the University of Virginia and a double major in Economics from the College of Arts and Sciences at the University of Virginia.

Speaker 3: Edward Raff, Computer Scientist, Booz Allen Hamilton

• Machine Learning, Efficient Computation, and Algorithms

• Efficient Computation

• Fighting Malware with Machine Learning

Edward Raff is a Computer Scientist at Booz Allen Hamilton, specializing in machine learning problems and solutions. As the author of the JSAT library, Edward has extensive experience implementing all manner of algorithms. In particular, he has worked on problems involving bioinformatics, signal classification, sentiment analysis, real time object tracking, and change detection. He currently works at the Laboratory for Physical Sciences researching new methods of applying deep learning to cyber security, and in particular malware classification and analysis. Edward holds a Bachelor's and Master's degree from Purdue University, and is working on a Ph.D. at the University of Maryland, Baltimore County.

1:45 Wrap up and Q & A