Spark and Machine Learning

Join The Brussels Data Science Community, Spark Summit Europe (https://spark-summit.org/eu-2016/) attendees, and Spark ML and machine learning experts Nick Pentreath and Jean-Francois Puget for a talk on an Apache Spark–based, end-to-end machine learning system. A round of Spark and machine learning lightning talks will follow.

Many resources are available for building basic recommendation models using Spark. But how does a practitioner go from the basics to creating an end-to-end machine learning system, including deployment and management of models for real-time serving? In this session, we’ll demonstrate how to build such a system based on Spark ML and Elasticsearch. In particular, we’ll focus on how to go from data ingestion to model training to a real-time predictive system.

Agenda

18:30 – Welcome, food and drink

18:40 – Update on the preparation and workshops of the Data4Good Hackathon (http://www.denguehack.org/), and Philippe Van Impe (https://datasciencebe.com/tag/philippe-van-impe/), founder, European Data Innovation Hub and the Brussels Data Science Community

18:50 – Introduction: Berni Schiefer (https://spark-summit.org/eu-2016/speakers/berni-schiefer/), IBM Fellow

19:00 – Creating an end-to-end Recommender System with Spark ML: Nick Pentreath (https://spark-summit.org/eu-2016/speakers/nick-pentreath/), principal engineer at the IBM Spark Technology Center, Apache Spark PMC member and author of Machine Learning with Spark, and Jean-François Puget (https://www.linkedin.com/in/jfpuget), distinguished engineer at IBM and chief architect for IBM Analytics Solutions.

19:45 – Lightning talks: 10 minute Spark and machine learning discussions, including new projects from Belgium. Details are coming soon.

20:45 – Networking and refreshments

PARKING - at GRAND PLACE
Rue Marché aux Herbes 104, 1000 Brussels
Boulevard de l'Impératrice - Keizerinlaan Brussels