All Blog Posts Tagged 'big' (4)

Devoxx Poland

The Devoxx Poland call for papers closed!

 es 3/31/16. Why should you submit your abstract? Devoxx Poland occurs in beautiful Krakow. June 22-24 are the dates. That's the most desirable time to be in central Europe. It's a global conference so you'll meet people from all over the world.

There were over 2000 participants last year. The…

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Added by Michael Levin on March 30, 2016 at 7:30am — No Comments

BIG DATA ONLINE TRAINING for Student Developers!

Oracle Academy’s free program offers learning resources and technologies for individual students:

 

BIG DATA ONLINE TRAINING

 

The objective of trainings, developed by Dan McClary, the product manager of “Oracle Academy Big Data Science…

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Added by Michael Levin on November 13, 2015 at 6:05pm — No Comments

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

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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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InfoQ Reading List

DevSummit Boston: Key Lessons from Shipping AI Products Beyond the Hype

Phil Calçado, CEO of Outropy, shared key insights at the InfoQ Dev Summit on scaling generative AI products. He highlighted the need for effective workflows and agents in AI development, advocating for iterative approaches that leverage proven software engineering principles. His insights promise to guide teams in building resilient AI systems without reinventing the wheel.

By Andrew Hoblitzell

Google's Agent2Agent Protocol Enters the Linux Foundation

Recently open-sourced by Google, the Agent2Agent protocol is now part of the Linux Foundation, along with its accompanying SDKs and developer tools.

By Sergio De Simone

Apple's Illusion of Thinking Paper Explores Limits of Large Reasoning Models

Apple Machine Learning Research published a paper titled "The Illusion of Thinking," which investigates the abilities of Large Reasoning Models (LRMs) on a set of puzzles. As the complexity of the puzzles increases, the researchers found that LRMs encounter a "collapse" threshold where the models reduce their reasoning effort, indicating a limit to the models' scalability.

By Anthony Alford

Presentation: A Framework for Building Micro Metrics for LLM System Evaluation

Denys Linkov shares lessons on preventing LLM production issues. He explains the flaws of single metrics, the importance of treating models as observable systems, building user-issue-alerting metrics, and focusing on business value. He emphasizes a "crawl, walk, run" approach to LLM metric maturity for successful, trust-building deployments.

By Denys Linkov

Google DeepMind Unveils AlphaGenome: a Unified AI Model for High-Resolution Genome Interpretation

Google DeepMind has announced the release of AlphaGenome, a new AI model designed to predict how genetic variants affect gene regulation across the entire genome. It represents a significant advancement in computational genomics by integrating long-range sequence context with base-pair resolution in a single, general-purpose architecture.

By Robert Krzaczyński

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