Latent Panelists Affinities: a Social Science case study

As part of the IBM PartyCloud happened in Milan on 20th September 2018, I gave a talk “A Journey into Data Science & AI” presenting a case study about estimating Panelists Latent Affinities. I showed the components to develop an intelligent social agent able to classify entities and estimate latent affinities. The session also covered good practices and common challenges faced by R&D organizations dealing with Machine Learning products.

If you would like to discuss about how AI technologies can be applied to social science, get in touch!

Published by


Data Scientist with proven experience of building machine learning products across different industries. Currently leading the AI team at Helixa. Co-author of the book "Python Deep Learning", contributor to the “Professional Manifesto for Data Science” and founder of the community. My favorite hobbies include home cooking, martial arts, and exploring the surrounding nature while traveling by motorcycle.

Leave a Reply

Fill in your details below or click an icon to log in: Logo

You are commenting using your account. Log Out /  Change )

Google photo

You are commenting using your Google account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s

This site uses Akismet to reduce spam. Learn how your comment data is processed.