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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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Google has recently introduced the Data Commons Model Context Protocol (MCP) Server, a tool that enables AI developers and researchers to easily access the public dataset collection available through Data Commons.
By Sergio De SimoneGoogle DeepMind has recently released the Gemini 2.5 Computer Use model, a specialized variant of its Gemini 2.5 Pro system designed to enable AI agents to interact directly with graphical user interfaces. The new model allows developers to build agents that can click, type, scroll, and manipulate interactive elements on web pages.
By Robert KrzaczyńskiPair programming and continuous integration can go hand-in-hand. Pushing to main multiple times a day is hard in isolation, leading to delays, large PRs, and merge issues, Ola Hast and Asgaut Mjølne Söderbom mentioned in their talk about continuous delivery with pair programming at QCon London. Pairing enables instant code review, easier refactoring, fewer bugs, and higher team resilience.
By Ben LindersMicrosoft has released Azure Container Storage v2.0.0, introducing significant performance enhancements and architectural simplifications for stateful workloads on Azure Kubernetes Service (AKS). The release focuses on deeper NVMe integration, streamlined user experience, and expanded open-source availability, while removing all service fees beyond underlying storage costs.
By Claudio MasoloIBM Research has recently introduced Granite-Docling-258M, a new open-source vision-language model (VLM) designed for high-fidelity document-to-text conversion while preserving complex layouts, tables, equations, and lists.
By Robert Krzaczyński
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