Networks for AB Testing

Where did recommender systems come from, and how do we know when they're actually working? In part one of Data Skeptic's three-part Recommender Systems finale, Kyle traces the field from collaborative filtering and the Netflix Prize to matrix factorization and modern approaches, ...  Show more

Recommender systems influence nearly every aspect of our digital lives—but what does it mean for those systems to be fair? Robin Burke joins Data Skeptic to discuss the history of recommender systems, the limitations of optimizing purely for accuracy, and how ideas from social ch ...  Show more

In an era where technology weaves intricate webs of connection, the age-old art of networking is undergoing a digital transformation. Join us in this thought-provoking episode as we delve into the world of networking enhanced by technology. From AI-powered assistants like ChatGPT ...  Show more

Why do some companies become household names, while others flame out? How do certain memes go viral? And why do some social movements take off and spread, while others fizzle? Today on the show, we revisit a favorite 2021 conversation with sociologist <a href="https://www.asc. ...

At a networking event, one of our listeners asked us to cover the topic of networking. In this episode, we will share our thoughts on networking and the success stories we’ve experienced from networking in our careers. Panelists: Ryan Burgess - @burgessdryan Jem Young - @JemYoung ...  Show more

Why do some companies become household names, while others flame out? How do certain memes go viral? And why do some social movements take off and spread, while others fizzle? Today on the show, we talk with sociologist <a href="https://www.asc.upenn.edu/people/faculty/damon-c ...