Plus/minus what? Let’s talk about uncertainty (talk)

Last week at DOAG 2017, I had two talks, one about deep learning with DL4J (slides here) and one about how to communicate uncertainty (or rather: how to construct prediction intervals for various methods / in various frameworks ranging from simple linear regression over Bayesian statistics to neural networks).

TLDR: The most important thing about communicating uncertainty is that you’re doing it.

Want all the formulae? presentation, github

🙂
 

3 thoughts on “Plus/minus what? Let’s talk about uncertainty (talk)

  1. > The most important thing about communicating uncertainty is that you’re doing it.

    I respectfully disagree. Communicating uncertainty is a complex task, simply doing it is an important step in the right direction. Important by a tiny one. That is why we need more presentations like yours. I wrote some more examples and arguments here https://gorelik.net/2017/12/14/whats-the-most-important-thing-about-communicating-uncertainty/ . Great

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out /  Change )

Google photo

You are commenting using your Google account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s