Networks for AB Testing

In this episode, host Kyle Polich speaks with Roan Schellingerhout, a fourth-year PhD student at Maastricht University, about explainable multi-stakeholder recommender systems for job recruitment. Roan discusses his research on creating AI-powered job matching systems that balanc ...  Show more

In this episode, we explore the fascinating world of recommender systems and algorithmic fairness with David Liu, Assistant Research Professor at Cornell University's Center for Data Science for Enterprise and Society. David shares insights from his research on how machine learni ...  Show more

Humans have become the most successful species on earth because of our ability to cooperate. Often we help strangers when there is no obvious benefit to us as individuals. But today in the age when social media and the internet could be seen as a way of bringing people together m ...  Show more

Ayodele Odubela joins us to discuss fairness in AI and how we can work towards a more equitable and transparent world of data science and machine learning. In this episode you will learn: Comet ML [3:22] What is a data science evangelist? [7:08] FullyConnected [12:04] Impost ...  Show more

In this episode of the Data Science Salon Podcast, host Anna Anisin sits down with two data leaders from Nordstrom to explore how organizations can build a culture of technical excellence and measurement in data science. First, Gina Schmalzle, Principal Data Scientist at Nordstro ...  Show more

SEO and CRO strategies require AI integration for maximum impact. Shaun Hinklein, Head of SEO at Apollo.io, shares how data-driven content can create superior user experiences while balancing automation with human authenticity. He demonstrates practical methods for analyzing c ...