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: Slack's Migration to a Cellular Architecture

Cooper Bethea explains the need for a cellular architecture at Slack, triggered by availability zone outages. He details the "before" & "after" of their production environment, emphasizing the strategic choices made for services with varying consistency requirements. Discover the success drivers, including incremental implementation and embracing "good enough," that enabled this complex migration.

By Cooper Bethea

Google Unveils Ironwood TPU for AI Inference

Google's Ironwood TPU, its most advanced custom AI accelerator, powers the "age of inference" with unmatched performance and scalability. With up to 9,216 liquid-cooled chips, it outpaces competitors, delivering 42.5 Exaflops. Engineered for high-efficiency, low-latency AI tasks, Ironwood redefines potential in AI hardware, leveraging AlphaChip to revolutionize chip design.

By Steef-Jan Wiggers

Article: Beyond OCR: How AI is Transforming Document Processing for Enterprise Applications

In this article, author Jitender Jain discusses AI driven document processing techniques for an intelligent, adaptive approach to document processing, to interpret documents in context and not just by visual structure.

By Jitender Jain

Podcast: Achieving Sustainable Mental Peace in Software Engineering with Help from Generative AI

Shane Hastie spoke to John Gesimondo about how to leverage generative AI tools to support sustainable mental peace and productivity in the complex, interruption-prone world of software engineering by developing a practical framework that addresses emotional recovery, overcoming being stuck, structured planning and communication, maximizing flow, and fostering divergent thinking.

By John Gesimondo

Presentation: Moving Your Bugs Forward in Time: Language Trends That Help You Catch Your Bugs at Build Time Instead of Run Time

Chris Price discusses the critical shift from catching bugs at runtime to identifying them during the build process. He explains how leveraging modern programming language features such as static typing in dynamic languages, null safety, immutable data structures, and exhaustive pattern matching can significantly enhance code maintainability and prevent expensive production issues.

By Chris Price