Data Anomaly Detection Using a Neural Autoencoder with C# -- Visual Studio Magazine

Retrieved on: 2024-04-16 12:36:13

Tags for this article:

Unsupervised learning

Dimension reduction

Machine learning

Autoencoder

Computational statistics

Higher-order function

Anomaly detection

Neural network

MICROSOFT RESEARCH

Click the tags to see associated articles and topics

Data Anomaly Detection Using a Neural Autoencoder with C# -- Visual Studio Magazine. View article details on hiswai:

Summary

The article details Dr. James McCaffrey's approach to anomaly detection using neural autoencoders in C# at Microsoft Research, explaining the complicated model training and data preparation process inherent to machine learning, specifically unsupervised learning and dimension reduction.

Article found on: visualstudiomagazine.com

View Original Article