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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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In a recent article titled "What came first- the CNAME or the A record?" Cloudflare explains how an unclear RFC specification caused the popular Cloudflare’s 1.1.1.1 service to break. After identifying the breakage and the ambiguity in older DNS standards regarding record order, Cloudflare proposes a clarified specification.
By Renato Losio
Cloudflare has introduced Moltworker, an open-source solution for running Moltbot—a self-hosted personal AI agent—on its Developer Platform, eliminating the need for local hardware, such as Mac minis. Rebranded from Clawdbot, Moltbot serves as a personal assistant in chat applications, integrating with AI models, browsers, and third-party tools while maintaining user control.
By Robert Krzaczyński
Google has added agentic vision to Gemini 3 Flash, combining visual reasoning with code execution to "ground answers in visual evidence". According to Google, this not only improves accuracy, but more importantly unlocks entirely new AI-driven behaviors.
By Sergio De Simone
LinkedIn has rebuilt its static application security testing (SAST) pipeline using GitHub Actions and custom workflows, enabling consistent, enforceable code scanning across thousands of repositories. The redesign improves security coverage, developer workflow, and observability while supporting the company’s shift-left strategy.
By Leela Kumili
Datadog recently announced that its LLM Observability platform now provides automatic instrumentation for applications built with Google's Agent Development Kit (ADK), offering deeper visibility into the behavior, performance, cost, and safety of AI-driven agentic systems.
By Craig Risi
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