A-7 Tom Zeng : Introduction of cutting-edge technology trend relating to Ruby

Date

September 7 (Tue.) 9:15-10:00

Room

Hall-A (International Conference Hall 3F)

Speaker

Tom Zeng
(Intridea, Inc.)

Speaker’s profile

Tom Zeng is a Software Architect at Intridea, Inc. He has many years of development experiences in financial, ecommerce, and risk management applications using Java and Ruby on Rails. He developed tweetsentiments.com using Machine Learning technologies. Tom holds a M.A.Sc degree from the University of Waterloo, Ontario, Canada.

Presentation title

Introduction of cutting-edge technology trend relating to Ruby

Presentation outline

We will begin with an introduction to Machine Learning using Ruby and survey the open source and commercial machine learning tools available and focus on using the Support Vector Machines classification models in Ruby applications. We will then discuss using machine learning for sentiment analysis in a real world Ruby on Rails application with those use cases – brand monitoring and event monitoring. We will conclude with a demo and Q & A.