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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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AWS has removed its legal protections for customers using its video transcoding and streaming services, potentially exposing them to patent infringement claims from codec rights holders. The change affects six services, including the popular file-based video processing service MediaConvert and live video encoding service MediaLive.
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In this virtual panel, we'll focus on performance improvement through platform engineering and fostering developer experience, to increase productivity, quality, developer well-being, and more. We'll also explore the role that tech leadership can play in culture change and performance improvement for software development organizations.
By Ben Linders, Patrick Kua, Abby Bangser, Sarah Wells
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