Machine learning has become integral to our daily lives, quietly shaping experiences from Netflix's personalized movie recommendations to the facial recognition technology on flagship Android phones.

1. Demand Prediction Engine: A Technological Leap from "Passive Response" to "Active Anticipation" ...

Self-supervised models generate implicit labels from unstructured data rather than relying on labeled datasets for supervisory signals. Self-supervised learning (SSL), a transformative subset of ...

The core value of unsupervised learning lies in its ability for data-driven exploration, making it particularly suitable for ...

Can a neural network be constructed entirely from DNA and yet learn in the same way as its silicon-based brethren? Recent ...

Blake Miller, Fridolin Linder, Walter R. Mebane Jr. Supervised machine learning methods are increasingly employed in political science. Such models require costly manual labeling of documents. In this ...

In this module, we delve into the concept of clustering, a fundamental technique in data analysis and machine learning. Clustering involves grouping a set of objects in such a way that objects in the ...

The Machine Learning in Economics Summer Conference will be held at the University of Chicago on August 11–12, 2025. MLESC brings together researchers working at the intersection of machine learning ...