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,…

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Added by Carol McDonald on April 13, 2015 at 9:14am — 1 Comment

screencast about MySQL for Developers

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

Added by Carol McDonald on March 30, 2009 at 10:30am — No Comments

Happy 10th year, JCertif!

Notes

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.

When you create a profile for yourself you get a personal page automatically. That's where you can be creative and do your own thing. People who want to get to know you will click on your name or picture and…
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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

KubeCon EU Highlights: CloudEvents & Falco Graduate, Beta Tetragon , Linkerd Meshes Legacy Systems

As highlighted at the recent KubeCon and CNCF EU conference, the count of CNCF graduated projects has reached twenty-six, as Cloud Events and Falco joined the “boring, but safe project list”. Linkerd added mesh extended capabilities for legacy systems: in this way, you can extend the governance and security policies of your mesh. The Beta version of Cilium Tetragon is deployed by early adopters

By Olimpiu Pop

Presentation: How to Get Tech-Debt on the Roadmap

Ben Hartshorne discusses how to pitch a product, covering why one needs to make a business case, what is tech debt, what data is most compelling, getting tech debt on other teams’ roadmaps

By Ben Hartshorne

Podcast: InfoQ Culture & Methods Trends in 2024

In this podcast the Culture and Methods editorial team along with special guest Jutta Eckstein talk about the current state and trends we see in the technology industry in 2024.

By Susan McIntosh, Jutta Eckstein, Craig Smith, Ben Linders, Rafiq Gemmail

HashiCorp Released Version 2.3 of Terraform Cloud Operator for Kubernetes

Hashicorp recently released the version 2.3 of Terraform Cloud Operator for Kubernetes with a new feature: the ability to initiate workspace runs declaratively. The Terraform Cloud Operator for Kubernetes was introduced in November 2023 with the goal to provide a Kubernetes-native experience while leveraging Terraform workflows

By Claudio Masolo

KubeCon EU: Backstage, Crossplane and Others Preparing for CNCF Graduation

More projects from the CNCF incubated level are preparing to graduate for an ever-widening cloud native ecosystem. The Backstage community has worked on a more robust architecture, and Crossplane aimed to improve its developer DX. KubeFlow and Volcano, both tools promising to improve AI adoption within the Kubernetes ecosystem, are working on easier installation and more features, respectively.

By Olimpiu Pop

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