Feature hashing for scalable machine learning

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Feature hashing for scalable machine learning


Nick Pentreath is a principal engineer at IBM, a member of the Apache Spark project management committee (PMC) and author of Machine Learning with Spark (Packt Publishing, December 2014). In this podcast, Pentreath covers the basics of feature hashing and how to use it for all feature types in machine learning. He will speak on this topic on Wednesday, 8 February 2017, at 12:20 p.m. Eastern in Room 302/304 at Spark Summit East 2017.

Register for Spark Summit East 2017 in Boston, Massachusetts, 7–9 February 2017, and learn how IBM is helping organizations accelerate the use of Spark solutions to solve big problems, build faster time-to-business applications and develop a blueprint for innovation.