LFD Book Forum  

Go Back   LFD Book Forum > Book Feedback - Learning From Data > Chapter 2 - Training versus Testing

 
 
Thread Tools Display Modes
Prev Previous Post   Next Post Next
  #1  
Old 11-13-2018, 03:33 AM
Yarduza Yarduza is offline
Junior Member
 
Join Date: Nov 2018
Posts: 1
Exclamation Example 2.2 (.3) - sample randomness

We stated that for Hoeffding's inequality to be valid, it's important that the sample from the "bin" will be random - the E(in).
In example 2.2.3 (Convex set, page 44), it's stated that we choose the sample data to be on the perimeter of a circle (as stated, we need to choose the N points carefully).

By choosing the N points that way, (or by using any other careful way), don't we mess with the randomness of the sample?
Is it possible that we can't use Hoeffding's inequality following this process at all?
Reply With Quote
 

Tags
hoeffding's inequality, randomness, sample

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 03:55 AM.


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.