Carol McDonald
  • Female
  • Jacksonville, Florida
  • United States
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What are your main interests in software development?
Java, Web, Ajax, Java EE, Spring, Seam, JPA, Web Services
Do you have a website?
http://weblogs.java.net/blog/caroljmcdonald/
Anything else you'd like to add? Where do you live? (optional!)
Je parle Francais. Ich kann Deutsch.

Carol McDonald's Blog

movie recommendations with Spark machine learning

Posted on August 4, 2015 at 11:15am 0 Comments

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

An Inside Look at the Components of a Recommendation Engine

Posted on April 13, 2015 at 9:14am 1 Comment

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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screencast about MySQL for Developers

Posted on March 30, 2009 at 10:30am 0 Comments

Here is a screencast about MySQL for Developers



If you are a developer using MySQL, you should learn enough to take advantage of its strengths, because having an understanding of the database can help you develop better-performing applications. This session will talk about MySQL database design and SQL tuning for developers. Some topics include:



* MySQL Storage Engine Architecture

* Schema, the basic foundation of performance

* Think about performance when… Continue

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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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InfoQ Reading List

How Slack Manages Context in Long-running Multi-agent Systems

To sustain productivity in long-running agent systems, Slack engineers moved away from accumulating chat logs and started using structured memory, validation, and distilled truth to maintain coherence and accuracy of long-running agent systems.

By Sergio De Simone

Google Cloud Introduces Agents CLI to Streamline AI Agent Development Lifecycle

Google Cloud has introduced Agents CLI within its Agent Platform, aiming to streamline the development lifecycle of AI agents from local prototyping to production deployment. The release targets a common challenge in agent development, where tooling and infrastructure are often fragmented across multiple services and environments.

By Robert Krzaczyński

GitHub Uses eBPF to Eliminate Deployment Risks and Prevent Circular Failures

GitHub has introduced a new approach to improving deployment safety by leveraging eBPF, enabling the company to detect and prevent hidden circular dependencies that could block recovery during outages.

By Craig Risi

Presentation: AI-Powered SRE for Autonomous Incident Response

The presenters discuss incident response, how AI-enhanced SRE platforms connect signals from logs, metrics, traces, and historical incidents to enable autonomous decisions.

By Rohit Dhawan, Pavan Madduri, Alina Astapovich, Goutham Rao, Renato Losio

Presentation: Week-Long Outage: Lifelong Lessons

Molly Struve discusses a brutal six-day outage that nearly sank a company. She explains technical lessons like the importance of FMEAs, shadow traffic, and exercising rollback mechanisms. She shares why the human elements - widening your circle early and having a VP who acts as a defender - are what truly build psychological safety.

By Molly Struve

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