Ted Dunning

Live online courses, books, and videos on O’Reilly

Books

AI and Analytics at Scale

AI and Analytics in Production

Data Where You Want It

Streaming Architecture

Machine Learning Logistics

Time Series Databases: New Ways to Store and Access Data

Practical Machine Learning: A New Look at Anomaly Detection

Sharing Big Data Safely

Real-World Hadoop

Practical Machine Learning: Innovations in Recommendation

Bio

Ted Dunning is Chief Applications Architect at MapR Technologies and active in the open source community.

He currently serves as VP for Incubator at the Apache Foundation, as a champion and mentor for a large number of projects, and as committer and PMC member of the Apache ZooKeeper and Drill projects. He developed the t-digest algorithm used to estimate extreme quantiles. T-digest has been adopted by several open source projects. He also developed the open source log-synth project described in the book Sharing Big Data Safely (O’Reilly).

Ted was the chief architect behind the MusicMatch (now Yahoo Music) and Veoh recommendation systems, built fraud-detection systems for ID Analytics (LifeLock), and has issued 24 patents to date. Ted has a PhD in computing science from University of Sheffield. When he’s not doing data science, he plays guitar and mandolin. Ted is on Twitter as @ted_dunning.

http://tdunning.blogspot.com/