Kids Run the Darndest Experiments: Causal Learning in Children with Alison Gopnik - #548

Kids Run the Darndest Experiments: Causal Learning in Children with Alison Gopnik - #548

Today we close out the 2021 NeurIPS series joined by Alison Gopnik, a professor at UC Berkeley and an invited speaker at the Causal Inference & Machine Learning: Why now? Workshop. In our conversation with Alison, we explore the question, “how is it that we can know so much about the world around us from so little information?,” and how her background in psychology, philosophy, and epistemology has guided her along the path to finding this answer through the actions of children. We discuss the role of causality as a means to extract representations of the world and how the “theory theory” came about, and how it was demonstrated to have merit. We also explore the complexity of causal relationships that children are able to deal with and what that can tell us about our current ML models, how the training and inference stages of the ML lifecycle are akin to childhood and adulthood, and much more! The complete show notes for this episode can be found at twimlai.com/go/548

Avsnitt(782)

Francisco Webber - Statistics vs Semantics for Natural Language Processing - TWiML Talk #10

Francisco Webber - Statistics vs Semantics for Natural Language Processing - TWiML Talk #10

My guest this time is Francisco Webber, founder and General Manager of artificial intelligence startup Cortical.io. Francisco presented at the O’Reilly AI conference on an approach to natural language...

3 Dec 201649min

Pascale Fung - Emotional AI: Teaching Computers Empathy - TWiML Talk #9

Pascale Fung - Emotional AI: Teaching Computers Empathy - TWiML Talk #9

My guest this time is Pascale Fung, professor of electrical & computer engineering at Hong Kong University of Science and Technology. Pascale delivered a presentation at the recent O'Reilly AI confere...

8 Nov 201634min

Diogo Almeida - Deep Learning: Modular in Theory, Inflexible in Practice - TWiML Talk #8

Diogo Almeida - Deep Learning: Modular in Theory, Inflexible in Practice - TWiML Talk #8

My guest this time is Diogo Almeida, senior data scientist at healthcare startup Enlitic. Diogo and I met at the O'Reilly AI conference, where he delivered a great presentation on in-the-trenches deep...

23 Okt 201646min

Carlos Guestrin - Explaining the Predictions of Machine Learning Models - TWiML Talk #7

Carlos Guestrin - Explaining the Predictions of Machine Learning Models - TWiML Talk #7

My guest this time is Carlos Guestrin, the Amazon professor of Machine Learning at the University of Washington. Carlos and I recorded this podcast at a conference, shortly after Apple's acquisition o...

9 Okt 201631min

Angie Hugeback - Generating Training Data for Your ML Models - TWiML Talk #6

Angie Hugeback - Generating Training Data for Your ML Models - TWiML Talk #6

My guest this time is Angie Hugeback, who is principal data scientist at Spare5. Spare5 helps customers generate the high-quality labeled training datasets that are so crucial to developing accurate m...

29 Sep 20161h 1min

Joshua Bloom - Machine Learning for the Stars & Productizing AI - TWiML Talk #5

Joshua Bloom - Machine Learning for the Stars & Productizing AI - TWiML Talk #5

My guest this time is Joshua Bloom. Josh is professor of astronomy at the University of California, Berkeley and co-founder and Chief Technology Officer of machine learning startup Wise.io. In this wi...

22 Sep 20161h 28min

Charles Isbell - Interactive AI, Plus Improving ML Education - TWiML Talk #4

Charles Isbell - Interactive AI, Plus Improving ML Education - TWiML Talk #4

My guest this time is Charles Isbell, Jr., Professor and Senior Associate Dean in the College of Computing at Georgia Institute of Technology. Charles and I go back a bit… in fact he’s the first AI re...

10 Sep 20161h 4min

Xavier Amatriain - Engineering Practical Machine Learning Systems - TWiML Talk #3

Xavier Amatriain - Engineering Practical Machine Learning Systems - TWiML Talk #3

My guest this time is Xavier Amatriain. Xavier is a former researcher who went on to lead the machine learning recommendations team at Netflix, and is now the vice president of engineering at Quora, t...

28 Aug 201656min

Populärt inom Politik & nyheter

svenska-fall
p3-krim
rss-krimstad
fordomspodden
aftonbladet-krim
spar
flashback-forever
rss-sanning-konsekvens
aftonbladet-daily
motiv
rss-vad-fan-hande
rss-krimreportrarna
rss-klubbland-en-podd-mest-om-frolunda
krimmagasinet
politiken
rss-frandfors-horna
dagens-eko
rss-aftonbladet-krim
blenda-2
rss-flodet