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Started Sep 18, 2009
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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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Amir Langer discusses the evolution of latency reduction, from the Pony Express to modern hardware. He explains how separation of concerns - decoupling business logic from I/O - and tools like Aeron and the Disruptor achieve single-digit microsecond speeds. He shares insights into replicated state machines, consensus protocols like Raft, and the future of low-latency sequencer architectures.
By Amir Langer
The Cloud Native Computing Foundation (CNCF) and Kusari have announced a new collaboration aimed at strengthening software supply chain security across cloud-native projects, providing free access to Kusari's AI-powered security tooling for CNCF-hosted projects.
By Craig Risi
Google Cloud has outlined its recent technical contributions to PostgreSQL, emphasizing improvements in logical replication, upgrade processes, and overall system stability. The update reflects ongoing collaboration with the upstream community and focuses on enhancements to the core engine aimed at addressing scalability, replication, and operational challenges.
By Robert Krzaczyński
Safari's release of version 26.2 in December introduced support for the scrollend event, completing its alignment with major browsers. This event signals when scrolling has definitively ended, enabling more reliable interactions without the need for workarounds. It improves performance for developers managing UI updates and data fetching based on scroll completion.
By Daniel CurtisIn this podcast Shane Hastie, Lead Editor for Culture & Methods spoke to Sam Bhagwat, co-founder and CEO of Mastra, about building and sustaining open source communities, the emerging discipline of AI engineering and evals, and how cross-functional Tiger Teams are key to shipping agentic applications.
By Sam Bhagwat
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