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Carol McDonald
- Female
- Jacksonville, Florida
- United States
- Blog Posts (3)
- Discussions (4)
- Events
- Groups (9)
- Photos
- Photo Albums
- Videos
Carol McDonald's Groups
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GatorJUG Town
30 members
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Community Corral
23 members
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iPhone Development
41 members
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Database SIG
13 members
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JEE Town
28 members
Carol McDonald's Discussions
Some Java Concurrency Tips
Started Sep 18, 2009
Java Enterprise Tech Tips: Locking and Concurrency in Java Persistence 2.0
Started Sep 14, 2009
Comparing Tomcat and Glassfish
Started Mar 6, 2009
Gifts Received
Carol McDonald has not received any gifts yet
Carol McDonald's Page
Profile Information
- 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 1 Like
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 0 Likes
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,…
Continuescreencast about MySQL for Developers
Posted on March 30, 2009 at 10:30am 0 Comments 0 Likes
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
Happy 10th year, JCertif!
Notes
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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
Phoenix LiveView Promises SPA-like Interactivity for Real-Time Server-Rendered Apps
9 years after the Phoenix web framework was made generally available, Phoenix LiveView recently reached 1.0 (release candidate). LiveView allows developers to create rich, real-time server-rendered applications without writing JavaScript. LiveView relies on the Erlang virtual machine (BEAM) to scale to millions of WebSocket connections handled by multiple processes concurrently.
By Bruno CouriolBeyond Passwords: Elastic's Proactive Move to Phishing-Resistant MFA
Recently, Elastic, a platform for search-powered solutions, discussed the advantages of phishing-resistant multi-factor authentication (MFA). This secure authentication method goes beyond traditional MFA, which uses passwords, SMS codes, or biometrics, by employing multiple layers of protection and a cryptographic registration process.
By Aditya KulkarniApple Open-Sources One Billion Parameter Language Model OpenELM
Apple released OpenELM, a Transformer-based language model. OpenELM uses a scaled-attention mechanism for more efficient parameter allocation and outperforms similarly-sized models while requiring fewer tokens for training.
By Anthony AlfordTechnical Preview of Github Copilot Workspace: Copilot-Native Developer Environment
Recently, GitHub released a technical preview of GitHub Copilot Workspace, a developer environment built on GPT-4 Turbo explicitly designed for Copilot. This workspace lets developers quickly brainstorm, plan, build, test, and run code using natural language.
By Steef-Jan WiggersArticle: How Netflix Ensures Highly-Reliable Online Stateful Systems
Building reliable stateful services at scale isn’t a matter of building reliability into the servers, the clients, or the APIs in isolation. By combining smart and meaningful choices for each of these three components, we can build massively scalable, SLO-compliant stateful services at Netflix.
By Joseph Lynch
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