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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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Explore the power of reactive programming for building scalable real-time notification systems. Using Spring Boot Reactive and Spring WebFlux, leverage non-blocking operations to handle high-volume, asynchronous data flows efficiently. Discover how Redis Pub/Sub enables event-driven messaging and how the SSE protocol provides persistent connections for instant client updates without polling.
By Matteo RossiMicrosoft has released .NET 9, which contains features regarding ASP.NET Core 9. This latest release focuses on optimizing static asset handling, refining Blazor's component interaction, enhancing SignalR's observability and performance, and streamlining API documentation through built-in OpenAPI support.
By Robert KrzaczyńskiMandy Gu spoke at QCon SF 2024 about how Wealthsimple, a Canadian fintech company, uses Generative AI to improve productivity. Her talk focused on the development and evolution of their GenAI tool suite and how Wealthsimple crossed the "Trough of Disillusionment" to achieve productivity.
By Anthony AlfordUrvashi Mohnani discusses the full developer experience of writing an application, containerizing it locally, deploying it to a Kubernetes cluster, and debugging Kubernetes applications locally.
By Urvashi MohnaniMicrosoft has unveiled a local Azure Service Bus emulator, transforming the way developers create and test applications. This tool eliminates cloud dependencies and costs, offering a streamlined development cycle and precise debugging in an isolated environment. Compatible with the latest SDKs, it empowers developers to innovate efficiently while ensuring reliable application communication.
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