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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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Asgaut Mjølne Söderbom and Ola Hast unravel the powerful synergy between pair programming and continuous delivery. They explain how this shift allowed their team to abandon traditional hurdles like excessive WIP, lengthy pull requests, and multiple test environments, leading to ultra-fast deployments, superior code quality, and a highly cohesive, efficient engineering team.
By Asgaut Mjølne Söderbom, Ola HastLambda now natively supports Apache Avro and Protobuf events, streamlining Kafka event processing - an enhancement that eliminates the need for custom deserialization, automates schema validation and filtering, and optimizes costs through efficient event handling. Integration with AWS Glue and Confluent registries simplifies development, allowing cleaner data consumption and enhanced scalability.
By Steef-Jan WiggersTo increase your impact and grow your career, you need to be involved in conversations that happen at a greater scope than the scope you have in your current role. Being involved will give you influence over this, help you direct and maximise your impact, and also allow you to bring better context to your day job, and to those working around you.
By Mark AllenIn this podcast, Shane Hastie, Lead Editor for Culture & Methods, spoke to Mark Allen about how engineers can expand their influence through strategic conversations, user-focused development practices, and excellence in incident management. Mark emphasizes the importance of building cross-organizational relationships and working on meaningful problems with positive impact.
By Mark AllenTen months after the release of MicroProfile 7.0, the MicroProfile Working Group has released version 7.1 of MicroProfile to the Java community. This new release features continued alignment with Jakarta EE 10 and updates to two community-developed core APIs.
By Michael Redlich
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