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Posted on August 4, 2015 at 11:15am 0 Comments 1 Like
This post discusses building a recommendation model from movie ratings using an iterative algorithm and parallel processing with Apache Spark MLlib.
https://dzone.com/links/parallel-and-iterative-processing-for-machine-lear.html
Posted on April 13, 2015 at 9:14am 1 Comment 0 Likes
Recommendation engines help narrow your choices to those that best meet your particular needs. In this post, we’re going to take a closer look at how all the different components of a recommendation engine work together. We’re going to use collaborative filtering on movie ratings data to recommend movies. The key components are a collaborative filtering algorithm in Apache Mahout to build and train a machine learning model,…
ContinuePosted on March 30, 2009 at 10:30am 0 Comments 0 Likes
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Created by Michael Levin Dec 18, 2008 at 6:56pm. Last updated by Michael Levin May 4, 2018.
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Replit has introduced Replit AI Integrations, a feature that lets users select third-party models directly inside the IDE and automatically generate the code needed to run inference.
By Daniel Dominguez
AWS has launched Database Savings Plans, allowing customers to cut database costs by up to 35% with a commitment to consistent usage. This feature enhances flexibility during migrations and expansions across AWS Regions. Positive community feedback highlights its potential impact on cost efficiency and future direction for database commitments.
By Steef-Jan Wiggers
Overload protection is often overlooked in platform engineering, leaving teams to create inconsistent, fragile fixes. Centralized rate limits, quotas, adaptive controls, and clear visibility give services predictable ways to handle traffic spikes, reduce reliability debt, and prevent cascading failures across systems.
By Gaurav Nanda, Tapan Manaktala
Vike introduces Photon, a groundbreaking framework for deploying JavaScript servers across any platform, enhancing developer experience with features like Cloudflare integration, Hot Module Replacement, and zero-config setups. As a collaborative, open-source solution, Photon simplifies server deployment while offering flexibility, making it an essential tool for modern web development.
By Daniel Curtis
Carnegie Mellon University has introduced Fray, a concurrency testing tool for JVM programs to catch bugs and replay them. Written in Kotlin and based on this research paper, Fray can’t find all concurrency issues, but uses recent research in order to maximize the chances of detecting them.
By Johan Janssen
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