Robohub.org
 

Talking Machines: Overfitting and asking ecological questions, with Professor (Emeritus) Tom Dietterich

by
16 June 2017



share this:

Credit: Wikipedia Commons

In episode three, season three of Talking Machines, we dive into overfitting, take a listener question about unbalanced data and speak with Professor (Emeritus) Tom Dietterich from Oregon State University.


If you enjoyed this episode, you may also want to listen to:

See all the latest robotics news on Robohub, or sign up for our weekly newsletter.



tags: ,


Talking Machines is your window into the world of machine learning.
Talking Machines is your window into the world of machine learning.





Related posts :



Online hands-on science communication training – sign up here!

Find out how to communicate about your work with experts from Robohub, AIhub, and IEEE Spectrum.
13 November 2024, by

Robot Talk Episode 97 – Pratap Tokekar

In the latest episode of the Robot Talk podcast, Claire chatted to Pratap Tokekar from the University of Maryland about how teams of robots with different capabilities can work together.
08 November 2024, by

Robot Talk Episode 96 – Maria Elena Giannaccini

In the latest episode of the Robot Talk podcast, Claire chatted to Maria Elena Giannaccini from the University of Aberdeen about soft and bioinspired robotics for healthcare and beyond.
01 November 2024, by

Robot Talk Episode 95 – Jonathan Walker

In the latest episode of the Robot Talk podcast, Claire chatted to Jonathan Walker from Innovate UK about translating robotics research into the commercial sector.
25 October 2024, by

Robot Talk Episode 94 – Esyin Chew

In the latest episode of the Robot Talk podcast, Claire chatted to Esyin Chew from Cardiff Metropolitan University about service and social humanoid robots in healthcare and education.
18 October 2024, by

Robot Talk Episode 93 – Matt Beane

In the latest episode of the Robot Talk podcast, Claire chatted to Matt Beane from the University of California, Santa Barbara about how humans can learn to work with intelligent machines.
11 October 2024, by





Robohub is supported by:




Would you like to learn how to tell impactful stories about your robot or AI system?


scicomm
training the next generation of science communicators in robotics & AI


©2024 - Association for the Understanding of Artificial Intelligence


 












©2021 - ROBOTS Association