Mavrick Laakso • 4/8/2024

Building, Serving, and Operating a Recommendation System Using AWS SageMaker

Read Original

This article details a hands-on project to build, serve, and operate a television show recommendation system using AWS SageMaker. The author, a software developer, shares their experience tackling the end-to-end process—from sourcing data and building a model without deep data science expertise to deploying and operating the system—as a learning exercise in applied machine learning.

0 comments
#Machine Learning #ai #cloud computing
Building, Serving, and Operating a Recommendation System Using AWS SageMaker

Comments

No comments yet

Be the first to share your thoughts!

Browser Extension

Get instant access to AllDevBlogs from your browser

Top of the Week

1
Quoting Thariq Shihipar
Simon Willison • 2 votes
2
Using Browser Apis In React Practical Guide
Jivbcoop • 2 votes
3
Top picks — 2026 January
Paweł Grzybek • 1 votes
4
In Praise of –dry-run
Henrik Warne • 1 votes
5
Deep Learning is Powerful Because It Makes Hard Things Easy - Reflections 10 Years On
Ferenc Huszár • 1 votes
6
Vibe coding your first iOS app
William Denniss • 1 votes
7
AGI, ASI, A*I – Do we have all we need to get there?
John D. Cook • 1 votes
8
Dew Drop – January 15, 2026 (#4583)
Alvin Ashcraft • 1 votes