Presented By O’Reilly and Cloudera
Make Data Work
March 5–6, 2018: Training
March 6–8, 2018: Tutorials & Conference
San Jose, CA

Machine learning versus machine learning in production

Manu Mukerji (8x8)
11:50am12:30pm Wednesday, March 7, 2018
Average rating: ****.
(4.22, 9 ratings)

Who is this presentation for?

  • Those working on ML or AI in production

Prerequisite knowledge

  • A basic understanding of machine learning concepts and Hadoop

What you'll learn

  • Learn how Acme Corporation uses machine learning for universal catalogs

Description

Acme Corporation, a global leader in commerce marketing, classifies 4.5B products a day into ~4,500 categories using Google Taxonomy. At 600 TB of data per day, Acme Corporation has the largest Hadoop cluster in Europe. Manu Mukerji walks you through Acme Corporation’s machine learning example for universal catalogs, explaining how the training and test sets are generated and annotated; how they were created when there is no public training data available; how the model is pushed to production, automatically evaluated, and used; how Acme Corporation built a Hadoop/Spark pipeline using different types of models predicting various values; production issues that arise when applying ML at scale in production; and lessons learned along the way.

Photo of Manu Mukerji

Manu Mukerji

8x8

Manu Mukerji is senior director of data, machine learning, and analytics at 8×8. Manu’s background lies in cloud computing and big data, working on systems handling billions of transactions per day in real time. He enjoys building and architecting scalable, highly available data solutions and has extensive experience working in online advertising and social media.

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Comments

Picture of Manu Mukerji
Manu Mukerji | SENIOR DIRECTOR, DATA, MACHINE LEARNING, AND ANALYTICS
03/12/2018 8:32am PDT

Thanks for attending the session: Here is a link to the slides: https://www.slideshare.net/ManuMukerji/machine-learning-in-production-manu-mukerji-strata-ca-march-2018

Let me know if you guys have questions or feedback

Dejan Miljkovic | PRINCIPAL ENGINEER
03/12/2018 5:16am PDT

Cool demo