Categories: AI/ML Research

A Gentle Introduction to Graph Neural Networks in Python

Graph neural networks (GNNs) can be pictured as a special class of neural network models where data are structured as graphs — both training data used to train the model and real-world data used for inference — rather than fixed-size vectors or grids like image, sequences, or instances of tabular data.
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4 hours ago

A Gentle Introduction to Attention and Transformer Models

This post is divided into three parts; they are: • Origination of the Transformer Model…

4 hours ago

Building a Recommender System From Scratch with Matrix Factorization in Python

In this article, we will build step by step a movie recommender system in Python,…

4 hours ago

Foundation Model for Personalized Recommendation

By Ko-Jen Hsiao, Yesu Feng and Sudarshan LamkhedeMotivationNetflix’s personalized recommender system is a complex system,…

4 hours ago

Amazon Bedrock Guardrails image content filters provide industry-leading safeguards, helping customer block up to 88% of harmful multimodal content: Generally available today

Amazon Bedrock Guardrails announces the general availability of image content filters, enabling you to moderate…

4 hours ago

Credit where credit’s due: Inside Experian’s AI framework that’s changing financial access

Experian's enterprise AI framework offers valuable lessons for businesses seeking to scale beyond proof of…

5 hours ago