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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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More projects from the CNCF incubated level are preparing to graduate for an ever-widening cloud native ecosystem. The Backstage community has worked on a more robust architecture, and Crossplane aimed to improve its developer DX. KubeFlow and Volcano, both tools promising to improve AI adoption within the Kubernetes ecosystem, are working on easier installation and more features, respectively.
By Olimpiu PopAccording to Marijn Huizenveld, discipline is key to preventing accumulating technical debt. In order to be disciplined you should make it difficult to ignore the debt. Heuristics like fixing small issues immediately, agreeing on a timebox for improvement, and making messy things look messy, can help tame technical debt.
By Ben LindersElon Musk announced that xAI would make its AI chatbot Grok open source, and now the release is accessible on GitHub and Hugging Face. This move enables researchers and developers to expand upon the model, influencing how xAI evolves Grok in the face of competition from tech giants like OpenAI, Meta, Google, Microsoft, and others.
By Daniel DominguezWilliam Chen discusses the importance of trimming your computational graph, storing data in multiple formats, leveraging open source, and considering multiple dimensions of modularization.
By William ChenRedis has recently announced a change in their license by transitioning from the open-source BSD to the more restrictive Server Side Public License (SSPLv1). The move has promptly led to a fork initiated by former maintainers and reignited discussions surrounding the sustainability of open-source initiatives.
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