Presented By O'Reilly and Cloudera
Make Data Work
22–23 May 2017: Training
23–25 May 2017: Tutorials & Conference
London, UK
Aurélien Géron

Aurélien Géron
Machine Learning Consultant, Kiwisoft

Website

Aurélien Géron is a machine learning consultant at Kiwisoft and author of the best-selling O’Reilly book Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow. Previously, he led YouTube’s video classification team, was a founder and CTO of Wifirst, and was a consultant in a variety of domains: finance (JPMorgan and Société Générale), defense (Canada’s DOD), and healthcare (blood transfusion). He also published a few technical books (on C++, WiFi, and internet architectures), and he’s a lecturer at the Dauphine University in Paris. He lives in Singapore with his wife and three children.

Sessions

11:1511:55 Thursday, 25 May 2017
Level: Beginner
Aurélien Géron (Kiwisoft)
Average rating: *****
(5.00, 4 ratings)
Collaborative filtering is great for recommendations, yet it suffers from the cold-start problem. New content with no views is ignored, and new users get poor recommendation. Aurélien Géron shares a solution: knowledge graphs. With a knowledge graph, you can truly understand your users' interests and make better, more relevant recommendations. Read more.