We have a fantastic lineup of hands-on and conventional tutorials to be held in conjunction with KDD 2018.
Check back as we get closer to the conference for more detailed program information.
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Active learning and transfer learning at scale with R and Python John-Mark Agosta, Olga Liakhovich, Robert Horton, Mario Inchiosa, Justin Ormont, Vanja Paunić, Siddarth Ramesh, Tomas Singliar, Ali-Kazim Zaidi, and Hang Zhang (Microsoft) Website
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Introduction to Reinforcement Learning with Ray Vrushank Vora and Sebastien Zany (Papert Labs) Website
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Beyond Graph Mining: Higher-Order Data Analytics for Temporal Network Data Renaud Lambiotte (Oxford), Martin Rosvall (Umeå University), Michael Schaub (MIT), Ingo Scholtes (ETH Zurich), and Jian Xu (Citadel LLC) Website
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GOAI: Accelerating the Scalable Data Science Environment with GPU-enabled Python Brad Rees, Keith Kraus, Bartley Richardson (NVIDIA) Website
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Feature Extraction and Summarization with Sequence to Sequence Learning Hamel Husain and Ho-Hsiang Wu (Github) Website
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Deep Learning and Natural Language Processing with Apache MxNet Gluon Alex Smola, Leonard Lausen, Haibin Lin (Amazon) Website
Save the Date
KDD 2018 - London, United Kingdom. 19 - 23 August 2018
The annual KDD conference is the premier interdisciplinary conference bringing together researchers and practitioners from data science, data mining, knowledge discovery, large-scale data analytics, and big data.