Why more isn't always better
Failed to add items
Sorry, we are unable to add the item because your shopping cart is already at capacity.
Add to basket failed.
Please try again later
Add to Wish List failed.
Please try again later
Remove from Wish List failed.
Please try again later
Follow podcast failed
Unfollow podcast failed
Why more isn't always better
-
Narrated by:
-
By:
About this listen
In this episode we tackle AI training data.
More specifically the thought that more data will always improve your models. From overfitting and noisy datasets to issues of scale, labeling, and ethics you'll understand that with AI models Quality is almost always better than quantity.We tackle problems where lack of good data leads to real issues and the ethicality of using widely available data on the internet without consent.
What listeners say about Why more isn't always better
Average Customer RatingsReviews - Please select the tabs below to change the source of reviews.
In the spirit of reconciliation, Audible acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.