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ratings:
Length:
53 minutes
Released:
Dec 23, 2019
Format:
Podcast episode

Description

Today we begin our coverage of the 2019 NeurIPS conference with Celeste Kidd, Assistant Professor of Psychology at UC Berkeley. In our conversation, we discuss: The research at the Kidd Lab, which is focused on understanding “how people come to know what they know.” Her invited talk “How to Know,” which details the core cognitive systems people use to guide their learning about the world. Why people are curious about some things but not others. How our past experiences and existing knowledge shape our future interests. Why people believe what they believe, and how these beliefs are influenced in one direction or another. How machine learning figures into this equation. Check out the complete show notes for this episode at twimlai.com/talk/330. You can also follow along with this series at twimlai.com/neurips2019.
Released:
Dec 23, 2019
Format:
Podcast episode

Titles in the series (100)

This Week in Machine Learning & AI is the most popular podcast of its kind. TWiML & AI caters to a highly-targeted audience of machine learning & AI enthusiasts. They are data scientists, developers, founders, CTOs, engineers, architects, IT & product leaders, as well as tech-savvy business leaders. These creators, builders, makers and influencers value TWiML as an authentic, trusted and insightful guide to all that’s interesting and important in the world of machine learning and AI. Technologies covered include: machine learning, artificial intelligence, deep learning, natural language processing, neural networks, analytics, deep learning and more.