直达地址： http://www.kdd.org/kdd2018/hands-on-tutorials
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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 -
Introduction to Reinforcement Learning with Ray
Vrushank Vora and Sebastien Zany (Papert Labs) Website -
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 -
GOAI: Accelerating the Scalable Data Science Environment with GPU-enabled Python
Brad Rees, Keith Kraus, Bartley Richardson (NVIDIA) Website -
Feature Extraction and Summarization with Sequence to Sequence Learning
Hamel Husain and Ho-Hsiang Wu (Github) Website -
Deep Learning with Keras
Anjali Sridhar (Google) Website -
Building Custom Deep Recommendation Engines
Chris Moody (Stitch Fix) Website -
Deep Learning and Natural Language Processing with Apache MxNet Gluon
Alex Smola, Leonard Lausen, Haibin Lin (Amazon) Website