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Federated ML for Edge Applications with Justin Norman - TWiML Talk #185

Federated ML for Edge Applications with Justin Norman - TWiML Talk #185

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


Federated ML for Edge Applications with Justin Norman - TWiML Talk #185

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

ratings:
Length:
48 minutes
Released:
Sep 27, 2018
Format:
Podcast episode

Description

In this episode of our Strata Data conference series, we’re joined by Justin Norman, Director of Research and Data Science Services at Cloudera Fast Forward Labs. Fast Forward Labs was an Applied AI research firm and consultancy founded by Hilary Mason, who’s TWiML Talk episode remains an all-time fan favorite. My chat with Justin took place on the 1 year anniversary of Fast Forward Labs’ acquisition by Cloudera, so we start with an update on the company before diving into a look at some of recent and upcoming research projects. Specifically, we discuss their recent report on Multi-Task Learning and their upcoming research into Federated Machine Learning for AI at the edge. To learn more about Cloudera and CFFL, visit Cloudera's Machine Learning resource center at cloudera.com/ml. For the complete show notes, visit https://twimlai.com/talk/185.  
Released:
Sep 27, 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.