Power Consumption Prediction based on Statistical Learning Techniques - Davide Pandini, STMicroelectronics
Neural Networks and Deep Learning (Part 1 of 2): An introduction - Valentino Zocca, Real Data Machines
Inaugural talk Data Science Milan - Gianmario Spacagna
Introduction to Machine Learning with H2O - Jo-Fai (Joe) Chow, H2O
Project “Deep Water” (H2O integration with other deep learning libraries - Jo-Fai (Joe) Chow, H2O
Data Science for the Enterprises (Spark, Kafka, Mesos and Cassandra) - Andy Petrella, Kensu
Building data-driven culture at Pirelli - Carlo Torniai, Pirelli Tyre
Data Science Milan: A year in a review of our community
"Crossing the Event Horizon" by Patrick Ehlen, PhD and Chief Scientist at Loop AI Labs (loop.ai)
"Human Capacity Cognitive Computing" by Patrick Ehlen, PhD and Chief Scientist at Loop AI Labs (loop.ai)
H2O for IoT - Jo-Fai (Joe) Chow, H2O
The Barclays Data Science Hackathon: Building Retail Recommender Systems based on Customer Shopping Behaviour - Gianmario Spacagna, Pirelli
Anomaly Detection using Deep Auto-Encoders | Gianmario Spacagna
Bringing Deep Learning into production - Paolo Platter, AgileLab
Data intensive applications with Apache Flink - Simone Robutti, Radicalbit
Introduction to Distributed Computing Engines for Data Processing - Simone Robutti, Radicalbit