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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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Rashmi Venugopal explains the core principles of renovating legacy software architecture. This talk addresses why legacy systems arise, their symptoms (complexity, degraded experience), and offers actionable strategies for modernization. Discover how to adopt an evolutionary approach, implement incremental changes, prioritize deprecation, and design your organization for successful renovation.
By Rashmi VenugopalIn this article, author Rahul Suresh discusses emerging AI patterns in the areas of prompting, responsible AI, user experience, AI-Ops, and optimization, with code examples for each design pattern.
By Rahul SureshPulumi Corporation has launched Pulumi IDP, an innovative internal developer platform that enhances cloud infrastructure delivery. This infrastructure-first solution offers flexible, secure workflows, empowering platform engineers with no-code, low-code, and full-code options.
By Matt SaundersResearchers at Carnegie Mellon University have introduced LegoGPT, a system that generates physically stable and buildable LEGO® structures from natural language descriptions. The project combines large language models with engineering constraints to produce designs that can be assembled manually or by robotic systems.
By Robert KrzaczyńskiMarkus Kett shares a compelling alternative to traditional database systems for Java-based applications. Discover how EclipseStore, an in-memory micro-persistence engine, unlocks extreme performance gains (up to 1000x faster) and drastically reduces cloud database expenses (over 90%).
By Markus Kett
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