Blog

Learn About Our Meetup

5000+ Members

MEETUPS

LEARN, CONNECT, SHARE

Join our meetup, learn, connect, share, and get to know your Toronto AI community. 

JOB POSTINGS

INDEED POSTINGS

Browse through the latest deep learning, ai, machine learning postings from Indeed for the GTA.

CONTACT

CONNECT WITH US

Are you looking to sponsor space, be a speaker, or volunteer, feel free to give us a shout.

[D] How can you uncover outliers using prediction models?

Lets imagine you are looking at library of books and you want to see which books are longer overdue than expected (with characteristics such as word count, genre, author), one plausible method would be to split all books into two unique sets. The first is used to train the model and the second is used to predict the expected time overdue. And then these sets are swapped around and the other side’s over or underdueness is predicted. Does this method have a name? And is there any other method available to do something similar. (Another example would be to predict under and over pay based on employee characteristics_)

Thanks.

submitted by /u/OppositeMidnight
[link] [comments]

Next Meetup

 

Days
:
Hours
:
Minutes
:
Seconds

 

Plug yourself into AI and don't miss a beat

 


Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.