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

Enhancing A/B Testing at DoorDash with Multi-Armed Bandits

While experimentation is essential, traditional A/B testing can be excessively slow and expensive, according to DoorDash engineers Caixia Huang and Alex Weinstein. To address these limitations, they adopted a "multi-armed bandits" (MAB) approach to optimize their experiments.

By Sergio De Simone

Two Missing Characters: How a Regex Flaw Exposed AWS GitHub Repos to Supply-Chain Risk

AWS recently published a security bulletin acknowledging a configuration issue affecting some popular AWS-managed open-source GitHub repositories. Dubbed CodeBreach, the critical vulnerability could have resulted in the introduction of malicious code and hijacking of the repositories leveraging AWS CodeBuild.

By Renato Losio

Google’s Universal Commerce Protocol (UCP) Powers Agentic Shopping

Google has launched the Universal Commerce Protocol (UCP), an open-source standard designed to enhance commerce on AI-powered platforms. UCP creates a common language for agentic shopping, enabling seamless interactions among consumers, businesses, and payment providers.

By Robert Krzaczyński

Expired Oracle Patent Opens Fast Sorting Algorithm to Open Source Databases

A recent article reports that an Oracle patent on a fast sorting method has expired, allowing open source databases to use it freely. Mark Callaghan, the inventor behind the sorting algorithm, shows how this 20-year-old approach can speed up sorting similar data and could make database systems faster and more efficient.

By Renato Losio

Ramp Builds Internal Coding Agent That Powers 30% of Engineering Pull Requests

Ramp has shared the architecture of Inspect. This internal coding agent has quickly reached about 30% adoption for merged pull requests in the company’s frontend and backend repositories. The fintech company shared a detailed technical specification. It explains how they created a system that gives AI agents the same access to the development environment as human engineers.

By Claudio Masolo

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