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Tutorials

* This tutorial is not included in Tutorial Day Registration (10 Nov). To attend this tutorial, please register for Main Conference.
Tuesday 7 November 2017

Full day Hands-on tutorial

Massively Scalable Production Grade Deep Learning with the Microsoft Cognitive Toolkit *

Presented by: Sayan Pathak，Frank Seide



Wednesday 8 November 2017

Full day Hands-on tutorial

Large Scale Distributed Data Science from Scratch with Apache Spark 2.0 & Deep Learning *

Presented by: Dr. James G. Shanahan，Liang Dai



Friday 10 November 2017

Half Day (A.M.) Tutorial

Knowledge Extraction and Inference from Text: Shallow, Deep, and Everything in Between

Presented by: Soumen Chakrabarti (IIT Bombay), and Partha Talukdar (Indian Institute of Science)


Commonsense for Machine Intelligence: Text to Knowledge and Knowledge to Text

Presented by: Gerard de Melo (Rutgers University), Niket Tandon (Allen Institute for Artificial Intelligence, USA), and Aparna S. Varde (Montclair State University)


Network Analysis in the Age of Large Network Dataset Collections – Challenges, Solutions and Applications

Presented by: J ́erˆome Kunegis and Renaud Lambiotte (University of Namur, Belgium )


Task based Search: Understanding & Inferring User Tasks and Needs

Presented by: Emine Yilmaz (University College London), Ahmed Hassan Awadallah (Microsoft Research), and Rishabh Mehrotra (University College London)


Half Day (P.M.) Tutorial

Construction and Querying of Large-scale Knowledge Bases

Presented by: Xiang Ren (USC), Yu Su, and Xifeng Yan (UCSB)


Knowledge Graphs: In Theory and Practice

Presented by: Nitish Aggarwal (IBM Walson, USA), Seedeh Shekarpour (Knoesis Research Centre, Ohio, USA), Sumit Bhatia (IBM Research, India), and Amit Sheth (Knoesis Research Centre, Ohio, USA)


Towards Space and Time Coupled Social Media Analysis

Presented by: Chao Zhang, Quan Yuan, and Jiawei Han (UIUC)


Malware Analysis for Data Scientists

Presented by: Charles Nicholas (UMBC)