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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
Presentation: Bringing a Product Mindset to an Infrastructure Platform Team
Stéphane Di Cesare discusses DKB's experience introducing a product mindset within their platform team, explaining their definition of a platform team, the rationale behind the shift, and their journey including challenges, goals, and key learnings around user value, platform definition, maturity models, and effective communication strategies for senior software developers and engineering leaders.
By Stéphane Di CesareArticle: Beyond Chatbots: Architecting Domain-Specific Generative AI for Operational Decision-Making
This article explores the use of domain-specific Generative AI, models that understand operational constraints, real-world dynamics, and business rules to generate executable strategies, not just text descriptions. These models require significantly smaller datasets and fewer parameters, making them cost-effective while enabling AI-driven core business decision intelligence at scale.
By Abhishek GoswamiBun 1.2 Improves Node Compatibility and Adds Postgres Client
The Bun team recently released Bun v1.2, with major progress regarding compatibility with Node.js, a key component of Bun’s value proposition. Bun 1.2 also now has a built-in S3 object storage API and a built-in Postgres client that comes in addition to the existing built-in SQLite client.
By Bruno CouriolOpenAI Releases Improved Image Generation in GPT-4o
OpenAI released a new version of GPT-4o with native image generation capability. The model can modify uploaded images or create new ones from prompts and exhibits multi-turn consistency when refining images and improved generation of text in images.
By Anthony AlfordPresentation: Making Change Stick: Lessons Learned From Helping Teams Improve at the Co-Op
Neil Vass discusses Co-op's unique 180-year history and its impact on modern software development practices within the organization. He explains the evolution of Co-op Digital, from its early adoption of agile principles inspired by GDS to its current challenges in scaling and sustaining effective ways of working across diverse teams.
By Neil Vass
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