The Complexity of Learning Neural Networks

In the final episode of our Recommender Systems season, we explore the growing questions of trust, manipulation, privacy, fairness, sustainability, and user control. From fake reviews and shilling attacks to explainable recommendations and user-selected algorithms, we look at wha ...  عرض المزيد

In part two of the Data Skeptic Recommender Systems season finale, Kyle asks a deceptively difficult question: what should recommender systems actually optimize for? Drawing on conversations from across the season, the episode explores engagement, filter bubbles, popularity bias, ...  عرض المزيد

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 ...  عرض المزيد

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 ...  عرض المزيد

!!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 ...