On the show today, Dino Carpentras, a post-doctoral researcher at the Computational Social Science group at ETH Zürich joins us to discuss how opinion dynamics models are built and validated. He explained how quantifying opinions is complex, and strategies to develop robust models for measuring and predicting public opinions.
School Reopening Analysis
Modern Data Stacks
Emoji as a Predictor
Polarizing Trends in the Gig Economy
Remote Learning in Applied Engineering
Remote Productivity
Does Remote Learning Work?
Covid-19 Impact on Bicycle Usage
Learning Digital Fabrication Remotely
Remote Software Development
Quantum K-Means
K-Means in Practice
Fair Hierarchical Clustering
Matrix Factorization For k-Means
Breathing K-Means
Power K-Means
Explainable K-Means
Customer Clustering
k-means Image Segmentation
Tracking Elephant Clusters
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