|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 Sukhani has 16 years of both academic and industry experience as a data scientist. Starting off as an Enterprise Application Integration (EAI) consultant in the USA, Tarun was involved in a number of integration and ETL projects for a variety of Fortune 500 and Global 1000 clients, such as BP Amoco, Praxair, and GE Medical Systems.
While completing 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.
Tarun continues to work within the Business Intelligence space, most recently focusing his time on Deep/Reinforcement Learning projects within the Fintech sector. For this, Tarun Sukhani 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.