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…

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Added 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…

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Added 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,…

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Added by Carol McDonald on April 13, 2015 at 9:14am — 1 Comment

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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.

When you create a profile for yourself you get a personal page automatically. That's where you can be creative and do your own thing. People who want to get to know you will click on your name or picture and…
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InfoQ Reading List

Article: Ceph RBD Turns 15: A Story of Open Source Creation

Fifteen years ago, Ceph RBD began as a community-driven idea that grew into essential infrastructure powering today's cloud platforms. This insider story from Yehuda Sadeh-Weinraub reveals how two developers started a distributed storage that now supports OpenStack and Kubernetes through transparent, collaborative development.

By Yehuda Sadeh-Weinraub

Podcast: Mandy Gu on Generative AI (GenAI) Implementation, User Profiles and Adoption of LLMs

In this podcast, Mandy Gu from Wealthsimple discusses how to establish AI programs in organizations and implement Generative AI (GenAI) initiatives, and the relationship between user profiles and adoption of LLMs.

By Mandy Gu

Azure AI Foundry Agent Service Gains Model Context Protocol Support In Preview

Microsoft's Azure AI Foundry Service now supports the Model Context Protocol (MCP), revolutionizing AI agent integration. This streamlined approach eliminates cumbersome custom coding, allowing seamless connection to data sources and workflows. With enterprise-grade security, developers can effortlessly enhance agent capabilities, ushering in a new era of interoperability and efficiency in AI.

By Steef-Jan Wiggers

Java News Roundup: Spring gRPC, Micronaut, JReleaser, Tomcat, Quarkus Legacy Config Classes

This week's Java roundup for June 30th, 2025, features news highlighting: point and maintenance releases of Spring gRPC, Micronaut, JReleaser, Quarkus and Apache Tomcat; the beta release of Open Liberty 25.0.0.7; and sunsetting of the Quarkus legacy configuration classes.

By Michael Redlich

Researchers Attempt to Uncover the Origins of Creativity in Diffusion Models

In a recent paper, Stanford researchers Mason Kamb and Surya Ganguli proposed a mechanism that could underlie the creativity of diffusion models. The mathematical model they developed suggests that this creativity is a deterministic consequence of how those models use the denoising process to generate images.

By Sergio De Simone

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