AI Show: Building Recommender Systems.
(Online Course)
Author
Contributors
Published
Carpenteria, CA linkedin.com, 2023.
Format
Online Course
Status
Description
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Language
English
Notes
General Note
5/02/202312:00:00AM
Participants/Performers
Presenter: Seth Juarez
Description
On this episode of the AI Show, learn about building Recommenders systems.
Description
The AI Show is a licensed partnership with Microsoft Learn that showcases the amazing work happening in AI at Microsoft. In this episode, Miguel Fierro joins Seth to demo Recommenders, the top open-source repository on GitHub. Find out how it was created and how customers are using it. Plus, go over a demo of how to build recommendation systems on Azure. This course was created by Microsoft Learn. We are pleased to host this training in our library.
System Details
Latest version of the following browsers: Chrome, Safari, Firefox, or Internet Explorer. Adobe Flash Player Plugin. JavaScript and cookies must be enabled. A broadband Internet connection.
Citations
APA Citation, 7th Edition (style guide)
Juarez, S., & Learn, M. (2023). AI Show: Building Recommender Systems . linkedin.com.
Chicago / Turabian - Author Date Citation, 17th Edition (style guide)Juarez, Seth and Microsoft Learn. 2023. AI Show: Building Recommender Systems. linkedin.com.
Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)Juarez, Seth and Microsoft Learn. AI Show: Building Recommender Systems linkedin.com, 2023.
MLA Citation, 9th Edition (style guide)Juarez, Seth, and Microsoft Learn. AI Show: Building Recommender Systems linkedin.com, 2023.
Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.