InfoQ Homepage Random Forests Content on InfoQ
Articles
RSS Feed-
/articles/fraud-detection-random-forest/en/smallimage/logo-1565613447671.jpg)
Fraud Detection Using Random Forest, Neural Autoencoder, and Isolation Forest Techniques
In this article, the authors discuss how to detect fraud in credit card transactions, using supervised machine learning algorithms (random forest, logistic regression) as well as outlier detection approaches using isolation forest technique and anomaly detection using the neural autoencoder.
-
/articles/introduction-machine-learning/en/smallimage/series-logo-small.jpg)
Article Series: An Introduction to Machine Learning for Software Developers
Get an introduction to some powerful but generally applicable techniques in machine learning for software developers. These include deep learning but also more traditional methods that are often all the modern business needs. After reading the articles in the series, you should have the knowledge necessary to embark on concrete machine learning experiments in a variety of areas on your own.