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Resurrecting a Recommendations Platform at Comcast with Leemay Nassery - TWiML Talk #201

Resurrecting a Recommendations Platform at Comcast with Leemay Nassery - TWiML Talk #201

FromThe TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)


Resurrecting a Recommendations Platform at Comcast with Leemay Nassery - TWiML Talk #201

FromThe TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

ratings:
Length:
48 minutes
Released:
Nov 19, 2018
Format:
Podcast episode

Description

In this episode of our AI Platforms series, we’re joined by Leemay Nassery, Senior Engineering Manager and head of the recommendations team at Comcast. Leemay spoke at the Strange Loop conference a few months ago on “Resurrecting a recommendations platform.” In our conversation, Leemay and I discuss just how she and her team resurrected the Xfinity X1 recommendations platform, including rebuilding the data pipeline, the machine learning process, and the deployment and training of their updated models. We also touch on the importance of A-B testing and maintaining their rebuilt infrastructure.  For the complete show notes for this episode, visit twimlai.com/talk/201.  For more information on our upcoming eBook series or the AI Platforms series, visit twimlai.com/aiplatforms. Make sure you sign up for our newsletter at twimlai.com/newsletter!
Released:
Nov 19, 2018
Format:
Podcast episode

Titles in the series (100)

This Week in Machine Learning & AI is the most popular podcast of its kind. TWiML & AI caters to a highly-targeted audience of machine learning & AI enthusiasts. They are data scientists, developers, founders, CTOs, engineers, architects, IT & product leaders, as well as tech-savvy business leaders. These creators, builders, makers and influencers value TWiML as an authentic, trusted and insightful guide to all that’s interesting and important in the world of machine learning and AI. Technologies covered include: machine learning, artificial intelligence, deep learning, natural language processing, neural networks, analytics, deep learning and more.