|15 March 2018||9:30am - 12:30pm|
|MaGIC (Malaysian Global Innovation & Creativity Centre) View map|
|Admission is FREE|
Deep Learning is a fast-growing methodology used in research and various industries to help solve big data problems such as computer vision, speech recognition, and natural language processing. This session aims to introduce some practical examples of Deep Learning applications include image recognition, vehicle, pedestrian, and landmark identification for driver assistance and more- and introduce you to the fundamental concepts of Deep Learning.
Learn the fundamental concepts in Deep Learning and gain an understanding of the intuition and application of:
|9.00 AM||Arrivals and Registration|
|9.30 AM||Talk Session|
|11.30 AM||Q&A Session|
|12.00 PM||Session End|
Register today to secure your seats!
Tarun has 16 years of academic and industry experience as a data scientist over the course of his career. Starting off as an EAI consultant in the USA, Tarun was involved in a number of integration/ETL projects for a variety of Fortune 500 and Global 1000 clients, such as BP Amoco, Praxair, and GE Medical Systems. Having acquired his Master’s degree in Data Warehousing, Data Mining, and Business Intelligence at Loyola University Chicago GSB in 2005, Tarun also worked as a BI consultant for a number of Fortune 500 clients at Revere Consulting, a Chicago based boutique IT firm focusing on Data Warehousing/Mining projects. Within the industry, he worked on ETL/Data Science/Machine Learning projects at Profitera, Experian, Atex, E-Radar, ICarAsia, and Max Money. Tarun continues to work within the BI space, most recently focusing his time on Deep/Reinforcement Learning projects within the Fintech sector. Tarun has worked on parametric statistical modeling as well within the Data Science and Big Data Science space, using tools such as SciPy in Python and R and R/Hadoop for Big Data projects.