Sep 23–26, 2019
Ted Dunning

Ted Dunning
Chief Application Architect, MapR

Website | @ted_dunning

Ted Dunning is CTO at MapR. He’s also a board member for the Apache Software Foundation, a PMC member and committer on many Apache projects, and a mentor for various incubator projects. Ted has years of experience with machine learning and other big data solutions across a range of sectors. He has contributed to clustering, classification, and matrix decomposition algorithms in Mahout and to the new Mahout Math library and designed the t-digest algorithm used in several open source projects and by a variety of companies. Previously, Ted was chief architect behind the MusicMatch (now Yahoo Music) and Veoh recommendation systems and built fraud-detection systems for ID Analytics (LifeLock). Ted has coauthored a number of books on big data topics, including several published by O’Reilly related to machine learning, and has 24 issued patents to date plus a dozen pending. He holds a PhD in computing science from the University of Sheffield. When he’s not doing data science, he plays guitar and mandolin. He also bought the beer at the first Hadoop user group meeting.


11:20am12:00pm Wednesday, September 25, 2019
Location: 1A 12/14
Ted Dunning (MapR)
Feature engineering is generally the section that gets left out of machine learning books, but it is also the most critical part in practice. I will provide a variety of techniques, a few well known, but some rarely spoken of outside the tribal lore of top teams, including how to handle categorical inputs, natural language, transactions and more all in the context of modern machine learning. Read more.

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