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Sunday, January 27 • 9:30am - 11:20am
Recommendation engines explained

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Many of the applications you use and love provide personalised experiences to their users. This hands-on workshop will introduce the basics of recommendation as a class of machine-learning problems, introduce collaborative filtering algorithms, which are a popular way to capture the commonality between users’ interests, and explain how these algorithms work. You’ll learn practical details of using recommendation in your own applications, including: data preparation, tuning the training process to get the most out of recommendation engines, scaling training out with Apache Spark, handling both explicit data (e.g., ratings) and implicit data (e.g., page views or play counts), training and scoring models against streaming and batch data.

avatar for Rui Vieira

Rui Vieira

Red Hat
Rui is a Software Engineer at Red Hat working on Data Science, Apache Spark and Spark Streaming applications.
avatar for Sophie Watson

Sophie Watson

Software Engineer, Red Hat, Inc
Sophie is a software engineer at Red Hat, where she works in an emerging technology group. She has a background in Mathematics and has recently completed a PhD in Bayesian statistics, in which she developed algorithms to estimate intractable quantities quickly and accurately. Since... Read More →

Sunday January 27, 2019 9:30am - 11:20am

Attendees (32)