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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
Replit Introduces New AI Integrations for Multi-Model Development
Replit has introduced Replit AI Integrations, a feature that lets users select third-party models directly inside the IDE and automatically generate the code needed to run inference.
By Daniel DominguezAWS Launches Database Savings Plans, Offering Up to 35% Cost Reduction and Engine Flexibility
AWS has launched Database Savings Plans, allowing customers to cut database costs by up to 35% with a commitment to consistent usage. This feature enhances flexibility during migrations and expansions across AWS Regions. Positive community feedback highlights its potential impact on cost efficiency and future direction for database commitments.
By Steef-Jan WiggersArticle: Overload Protection: The Missing Pillar of Platform Engineering
Overload protection is often overlooked in platform engineering, leaving teams to create inconsistent, fragile fixes. Centralized rate limits, quotas, adaptive controls, and clear visibility give services predictable ways to handle traffic spikes, reduce reliability debt, and prevent cascading failures across systems.
By Gaurav Nanda, Tapan ManaktalaVike Releases Photon with Next-Gen JavaScript Deployment Infrastructure and Cloudflare Integration
Vike introduces Photon, a groundbreaking framework for deploying JavaScript servers across any platform, enhancing developer experience with features like Cloudflare integration, Hot Module Replacement, and zero-config setups. As a collaborative, open-source solution, Photon simplifies server deployment while offering flexibility, making it an essential tool for modern web development.
By Daniel CurtisFray Detects Concurrency Issues in JVM Languages
Carnegie Mellon University has introduced Fray, a concurrency testing tool for JVM programs to catch bugs and replay them. Written in Kotlin and based on this research paper, Fray can’t find all concurrency issues, but uses recent research in order to maximize the chances of detecting them.
By Johan Janssen
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