LFD Book Forum  

Go Back   LFD Book Forum > General > General Discussion of Machine Learning

 
 
Thread Tools Display Modes
Prev Previous Post   Next Post Next
  #1  
Old 05-14-2012, 07:09 AM
dbl001 dbl001 is offline
Member
 
Join Date: Apr 2012
Posts: 11
Default Machine Learning

Say I am applying machine learning methods to forecast the future price movement of the Euro. I have 10 years of data for training, testing, etc.

We have learned that future events which will dramatically affect the prediction (sovereign defaults,
country leaving the EU, multiple countries leaving the EU, etc.) have never occurred, were viewed as impossible months ago, and have no basis in the EU treaties or ECB regulations and mandates.

Would applying machine learning to this data be considered as having 'false assumptions'?

Are there methods for determining when this is happening when applying machine learning to a dataset, and quantifying the reliability of the predictions, or is this a matter of judgement left to the practitioner?

Thanks in Advance!
Reply With Quote
 

Tags
machine learning

Thread Tools
Display Modes

Posting Rules
You may not post new threads
You may not post replies
You may not post attachments
You may not edit your posts

BB code is On
Smilies are On
[IMG] code is On
HTML code is Off

Forum Jump


All times are GMT -7. The time now is 02:21 PM.


Powered by vBulletin® Version 3.8.3
Copyright ©2000 - 2019, Jelsoft Enterprises Ltd.
The contents of this forum are to be used ONLY by readers of the Learning From Data book by Yaser S. Abu-Mostafa, Malik Magdon-Ismail, and Hsuan-Tien Lin, and participants in the Learning From Data MOOC by Yaser S. Abu-Mostafa. No part of these contents is to be communicated or made accessible to ANY other person or entity.