[MINI] type i / type ii errors

What if you could simply tell a recommendation system what you want instead of relying on likes, dislikes, and watch history? Kyle Polich talks with Fuyuan Lyu about the DPR framework, which combines large language models and traditional recommender systems to give users direct c ...  Show more

How can researchers audit recommendation systems when the algorithms are hidden from view? Hieu Le joins Kyle Polich to discuss Auto-Like, a reinforcement learning framework that systematically explores how platforms like TikTok personalize content feeds. The conversation covers ...  Show more

はじめまして！podcastはじめました！今日はこのpodcastと自分の紹介です。 today’s topic is an introduction of me and this podcast!応援してくれると嬉しいです！ https://ko-fi.com/tomo_ltj 

Mit uns kannst Du nebenbei Deutsch lernen. Wir sind, Virpi und Sandra, deine zertifizierten Dozentinnen für die Hosentasche.

Fehler passieren jedem, Fehler sind nicht zu vermeiden und durch Fehler lernen wir. Wie man richtig mit Fehlern umgehen kann besprechen Virpi und Sandra ...

We're back! This week we are talking about brand and influencer events, what makes and good or bad one and if really we are just too lazy for them! Learn more about your ad choices. Visit megaphone.fm/adchoices 

In this episode, we'll look at the very basics of type systems and their enforcement. We'll discuss strongly and weakly typed languages. After that, we'll dig into different enforcement strategies - runtime with dynamic typing and compile-time with static typing.