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All Blog Posts Tagged 'big' (4)
Devoxx Poland
The Devoxx Poland call for papers closed!
es 3/31/16. Why should you submit your abstract? Devoxx Poland occurs in beautiful Krakow. June 22-24 are the dates. That's the most desirable time to be in central Europe. It's a global conference so you'll meet people from all over the world.
There were over 2000 participants last year. The…
ContinueAdded by Michael Levin on March 30, 2016 at 7:30am — No Comments
BIG DATA ONLINE TRAINING for Student Developers!
Oracle Academy’s free program offers learning resources and technologies for individual students:
BIG DATA ONLINE TRAINING
The objective of trainings, developed by Dan McClary, the product manager of “Oracle Academy Big Data Science…
ContinueAdded by Michael Levin on November 13, 2015 at 6:05pm — No Comments
movie recommendations with Spark machine learning
Tutorial on Apache Spark, movie recommendations with machine learning
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
Added by Carol McDonald on August 4, 2015 at 11:15am — No Comments
An Inside Look at the Components of a Recommendation Engine
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,…
ContinueAdded by Carol McDonald on April 13, 2015 at 9:14am — 1 Comment
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Notes
Welcome to Codetown!
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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InfoQ Reading List
AWS Distributed Tracing Service X-Ray Transitions to OpenTelemetry
AWS recently announced that AWS X-Ray is transitioning to OpenTelemetry as its primary instrumentation standard for application tracing, with the AWS X-Ray SDKs and Daemon moving to maintenance mode.
By Renato LosioDocker Releases Desktop 4.50, Adds Free Debugging Tools and AI-Native Enhancements
Docker recently announced the release of Docker Desktop 4.50, marking another update for developers seeking faster, more secure workflows and expanded AI-integration capabilities.
By Craig RisiAzure Virtual Desktop Goes Fully Hybrid with Arc-Enabled Servers
Microsoft's Azure Virtual Desktop (AVD) now supports hybrid environments, enabling on-premises Arc-Enabled Servers to act as session hosts. This integration enables customers to run virtual desktops in their data centers while leveraging cloud management tools. The update enhances flexibility, compliance, and operational integrity across various industries.
By Steef-Jan WiggersKubernetes Community Retires Popular Ingress NGINX Controller
The Kubernetes SIG Network and the Security Response Committee has announced the retirement of Ingress NGINX, one of the most widely deployed ingress controllers in the ecosystem. Best-effort maintenance will continue until March 2026, after which there will be no further releases, bug fixes, or security updates, according to an announcement made at Kubecon NA 2025.
By Matt SaundersIntroducing Evalite: The TypeScript Testing Tool for AI Powered Apps
Evalite is a TypeScript-native eval runner designed for AI applications, enabling developers to create reproducible evals with rich outputs. Featuring first-class trace capture, scoring, and a user-friendly web UI, Evalite enhances testing ergonomics and iteration speed. Open-source under MIT, it seamlessly integrates with any LLM, ensuring complete data control and fostering rapid development.
By Daniel Curtis
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