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

Presentation: Theme Systems at Scale: How To Build Highly Customizable Software

Guilherme Carreiro discusses the architecture behind Shopify’s theme system, focusing on balancing extreme customizability with platform stability. He explains how they leverage Liquid as a safe DSL, optimize performance via native extensions (Rust/C), and use JSON schemas to bridge the gap between developers and merchants.

By Guilherme Carreiro

Article: Virtual Panel - AI in the Trenches: How Developers Are Rewriting the Software Process

This virtual panel brings together engineers, architects, and technical leaders to explore how AI is changing the landscape of software development. Practitioners share their insights on successes and failures when AI is incorporated into daily workflows, emphasizing the significance of context, validation, and cultural adaptation in making AI a sustainable element of modern engineering practices.

By Arthur Casals, Mariia Bulycheva, May Walter, Phil Calçado, Andreas Kollegger

Podcast: Startup Software Architecture - You Never Really Throw It Away: A Conversation with David Gudeman

In this podcast, Michael Stiefel spoke with David Gudeman about software architecture for startups. The discussion starts by illuminating how to make decisions with imperfect information, and how uncertainty and ambiguity flow through all aspects of developing the architecture. This leads to analyzing how the architect must focus on both product strategy and technical decisions.

By David Gudeman

Rust Contributor Explores AI-Assisted Compiler Development with New Rue Language

Innovative programmer Steve Klabnik, known for his contributions to Rust, unveils Rue, a new systems programming language that enhances memory safety without garbage collection. Designed with developer ergonomics in mind, Rue leverages "inout" parameters to simplify ownership management while collaborating with Anthropic's Claude AI to expedite development. Explore Rue at rue-lang.dev.

By Steef-Jan Wiggers

Google Releases Gemma 3 270M Variant Optimized for Function Calling on Mobile and Edge Devices

FunctionGemma is a new, lightweight version of the Gemma 3 270M model, fine-tuned to translate natural language into structured function and API calls, enabling AI agents to "do more than just talk" and act.

By Sergio De Simone

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