The Complexity of Learning Neural Networks

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

News recommendation algorithms influence far more than what stories we click—they can shape our understanding of the world. In this episode, Kyle Polich speaks with Andreea Iana about responsible AI, filter bubbles, multilingual news recommendation, and her open-source NewsRecLib ...  Show more

It's been quite the ride in the realm of artifical intelligence over the past year or so. As impressive as advancements in machine learning have been, however, few experts are worried about bots taking our jobs and threatening our safety as a species. The truth is, tools like Cha ...  Show more

Why is it so hard to define concepts like artificial intelligence and machine learning? What do those even mean? And how does it work? We take a very high level look at AI and machine learning.

See omnystudio.com/li ...

Why is it so hard to define concepts like artificial intelligence and machine learning? What do those even mean? And how does it work? We take a very high level look at AI and machine learning. Learn more about your ad-choices at https://www.iheartpodcastnetwork.comSee omnystudio ...  Show more

!!WARNING!!

Due to some technical issues the volume is not always constant during the show. I sincerely apologise for any inconvenience Francesco

In this episode, I speak with Richie Cotton, Data Evangelist at DataCamp, as he delves into the d ...