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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
Codetown is a social network. It's got blogs, forums, groups, personal pages and more! You might think of Codetown as a funky camper van with lots of compartments for your stuff and a great multimedia system, too! Best of all, Codetown has room for all of your friends.
Created by Michael Levin Dec 18, 2008 at 6:56pm. Last updated by Michael Levin May 4, 2018.
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AWS has launched open-source Model Context Protocol (MCP) servers on GitHub to supercharge AI development within Amazon ECS, EKS, and Serverless environments. These specialized tools equip developers with real-time, context-specific insights, enhancing application deployment, troubleshooting, and operational efficiency. Empower your cloud experience today!
By Steef-Jan WiggersIn this podcast, Shane Hastie, Lead Editor for Culture & Methods spoke to Sergii Gorbachov, a staff engineer at Slack, about how they successfully used AI combined with traditional coding approaches to migrate 20,000 tests in 10 months, discovering that AI alone was insufficient and required human oversight and conventional tools to work effectively.
By Sergii GorbachovThe .NET team has released version 9.3 of .NET Aspire, introducing updates across diagnostics, integrations, and deployment workflows. As stated in the official announcement, this release aims to improve the developer experience by integrating GitHub Copilot into the Aspire dashboard, expanding tracing capabilities, and simplifying Azure deployments.
By Almir VukGitLab has released version 18.0 of its DevSecOps platform, introducing more AI features across the Premium and Ultimate tiers. The release includes AI-native development workflows, aligning GitLab with competitors like Microsoft's GitHub Copilot and other AI-assisted coding platforms.
By Matt SaundersThe Flux project announced the availability of Flux v2.6.0. This version marks the General Availability (GA) of the Flux Open Container Initiative (OCI) Artifacts features, representing a fundamental shift in how organizations approach GitOps.
By Claudio Masolo
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