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Thursday, March 07, 2019 at 08:00 AM   $499
Yale Club, 50 Vanderbilt Avenue
 
     
 
 
              

            
 
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What is Artificial Intelligence and how can you leverage it for your business?Learn AI from our 3 Ph.D. specialists



DR. SAMEER MASKEYhas been teaching various AI courses such as Natural Language Processing and Deep Learning at Columbia University as an Adjunct Associate Professor for the past 6 years. He also teaches the course AI in Business for the Columbia Business School. He got his PhD in Computer Science/Machine Learning for Natural Language Processing from Columbia University. He has served as a program committee and review committee member of many international conferences. He has published more than 20 peer reviewed papers and has more than 10 patents in various Machine Learning applications.





DR. STEVEN J. RENNIEpreviouslylead IBM Watson's Multimodal group where he build state of the art speech recognition and question answering systems. He is also the winner of various worldwide challenges such as the Image Captioning Challenge - MSCOCO and speech recognition challenge on switchboard corpus. He has a PhD in Electrical and Computer Engineering from the University of Toronto. Dr. Rennie teaches Deep Learning in the Computer Science department at Columbia University to graduate students. He has published more than 50 peer reviewed articles in many international conferences such as ICML and NIPS and is also in the program and review committees of many international Machine Learning conferences. He is currently the Director of Research at Fusemachines.



DR. ARIEL ELBAZisa Senior Research Scientist at Fusemachines. He previously worked at Google on various applications of Machine Learning. He has a PhD in Computer Science/Machine Learning. He is also a founder of a leading data annotation platform for annotating complex images and video. He has published many ML papers in international conferences.





AGENDA:



Registration & Breakfast (08:00am-09:00am)

Introduction

AI vs ML vs Deep Learning vs Data Science

Introduction to ML:
- Data to Scores- Data to Classes- Data to Clusters- Supervised vs Unsupervised Learning

Break (10:45am-11:00am)

Introduction to Deep Learning:- Reinforcement Learning- Adversarial Networks

Tools for Machine Learning & Current Trends

Lunch (12:30pm-1:30pm)

Solving Business Problems with Machine Learning in Various Industries

Break Out Session:- Using AI for YOUR business - when, how, what- Building your AI Team

Concluding Remarks

 
 
 
 
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