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Carol McDonald's Blog (3)
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
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
Added by Carol McDonald on March 30, 2009 at 10:30am — No Comments
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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
Gemma 3n Introduces Novel Techniques for Enhanced Mobile AI Inference
Launched in early preview last May, Gemma 3n is now officially available. It targets mobile-first, on-device AI applications, using new techniques designed to increase efficiency and improve performance, such as per-layer embeddings and transformer nesting.
By Sergio De SimoneArticle: Effective Practices for Coding with a Chat-Based AI
In this article, we explore how AI agents are reshaping software development and the impact they have on a developer’s workflow. We introduce a practical approach to staying in control while working with these tools by adopting key best practices from the discipline of software architecture, including defining an implementation plan, splitting tasks, and so on.
By Enrico PiccininNavigating Complexity, from AI Strategy to Resilient Architecture: InfoQ Dev Summit Munich 2025
Tired of conferences that don't address your real challenges? The InfoQ Dev Summit Munich 2025 schedule is different. It's packed with sessions on the topics that keep us up at night: responsible AI adoption, leadership friction, and EU data sovereignty
By Artenisa ChatziouPodcast: Trust-first Leadership and Building Great Teams
In this podcast, Shane Hastie, Lead Editor for Culture & Methods, spoke to Natan Žabkar Nordberg about how effective leadership requires treating people as whole humans, giving trust first, implementing guided autonomy with clear boundaries, and building diverse teams through shared experiences.
By Natan Žabkar NordbergGoogle Launches Gemini CLI: Open-Source Terminal AI Agent for Developers
Google has released Gemini CLI, a new open-source AI command-line interface that brings the full capabilities of its Gemini 2.5 Pro model directly into developers’ terminals. Designed for flexibility, transparency, and developer-first workflows, Gemini CLI provides high-performance, natural language AI assistance through a lightweight, locally accessible interface.
By Robert Krzaczyński
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