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Product Enrichment and Recommender Systems // Marc Lindner and Amr Mashlah // Coffee Sessions #114

Product Enrichment and Recommender Systems // Marc Lindner and Amr Mashlah // Coffee Sessions #114

FromMLOps.community


Product Enrichment and Recommender Systems // Marc Lindner and Amr Mashlah // Coffee Sessions #114

FromMLOps.community

ratings:
Length:
57 minutes
Released:
Aug 10, 2022
Format:
Podcast episode

Description

MLOps Coffee Sessions #114 with Marc Lindner, Co-Founder COO and Amr Mashlah, Head of Data Science of eezylife Inc., Product Enrichment and Recommender Systems co-hosted by Skylar Payne.

// Abstract
The difficulties of making multi-modal recommender systems. How it can be easy to know something about a user but very hard to know the same thing about a product and vice versa? For example, you can clearly know that a user wants an intellectual movie, but it is hard to accurately classify a movie as intellectual and fully automated.

// Bio
Marc Lindner Marc has a background in Knowledge Engineering. He's Always extremely product-focused with anything to do with Machine Learning.   

Marc built several products working together with companies such as Lithium Technologies etc. and then co-Founded eezy.

Amr Mashlah
Amr is the head of data science at eezy, where he leads the development of their recommender engine. Amr has a master's degree in AI and has been working with startups for 6 years now.

// MLOps Jobs board  
https://mlops.pallet.xyz/jobs

MLOps Swag/Merch
https://mlops-community.myshopify.com/

// Related Links
Children of Time book by Adrian Tchaikovsky:  
https://www.amazon.com/Children-Time-Adrian-Tchaikovsky/dp/0316452505

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Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/
Connect with Skylar on LinkedIn: https://www.linkedin.com/in/skylar-payne-766a1988/
Connect with Marc on LinkedIn: https://www.linkedin.com/in/marc-lindner-883a0883/
Connect with Amr on LinkedIn: https://www.linkedin.com/in/mashlah/
Released:
Aug 10, 2022
Format:
Podcast episode

Titles in the series (100)

Weekly talks and fireside chats about everything that has to do with the new space emerging around DevOps for Machine Learning aka MLOps aka Machine Learning Operations.