Machine Learning: Innovative methods in written word and numerical data


Details
Featured Speaker – Drew Farris
Drew will discuss his book “Taming Text”. This discussion will provide an example-driven guide to working with text in real applications. This book introduces you to useful techniques like full-text search, proper name recognition, clustering, tagging, information extraction, and summarization. You'll explore real use cases as you systematically absorb the foundations upon which they are built. Written in a clear and concise style, this book avoids jargon, explaining the subject in terms you can understand without a background in statistics or natural language processing. Examples are in Java, but the concepts can be applied in any language
Panel:
KC Decker, Senior Associate, Booz Allen Hamilton (Moderator)
Drew Farris, Senior Lead Technologist, Booz Allen Hamilton
Dr. Keith Becker, Booz Allen Hamilton
Dr. Martin Meltzer, Lead of the Health Economics and Modeling Unit, CDC
Dr. Joe Miller, Associate Director for Laboratory Science, CDC
Dr. Jinho Choi, Professor of Computer Science, Emory University
Sponsors:
• Booz Allen Hamilton
• Goizueta Business School Information Systems and Operations Managerment (ISOM) program - New Advanced Data Science Course for MBA students
• Emory Data Analytics Club

Machine Learning: Innovative methods in written word and numerical data