POLMETH Archives

Political Methodology Society

POLMETH@LISTSERV.WUSTL.EDU

Options: Use Forum View

Use Monospaced Font
Show Text Part by Default
Show All Mail Headers

Message: [<< First] [< Prev] [Next >] [Last >>]
Topic: [<< First] [< Prev] [Next >] [Last >>]
Author: [<< First] [< Prev] [Next >] [Last >>]

Print Reply
Subject:
From:
Ashley Sanchez <[log in to unmask]>
Reply To:
Political Methodology Society <[log in to unmask]>, Ashley Sanchez <[log in to unmask]>
Date:
Fri, 17 May 2024 10:31:35 -0500
Content-Type:
text/plain
Parts/Attachments:
text/plain (38 lines)
Hello everyone,

Statistical Horizons presents *Machine Learning
<https://statisticalhorizons.com/seminars/machine-learning/?utm_source=referral&utm_medium=referral&utm_campaign=ml-sum24-listserv>*,
a 4-day seminar taught by Bruce Desmarais on June 11-14.

This course will provide you with a comprehensive understanding of the core
concepts and practical applications of machine learning. Over 4 days,
you'll gain proficiency in leveraging machine learning techniques to
enhance your research endeavors. R will be used for empirical examples and
exercises.

Check out an exclusive 1-hour clip
<https://www.youtube.com/watch?v=QxLZKjWEwSs> from this seminar, now on
YouTube!

This livestream seminar will be held via Zoom, but you can also join
asynchronously by viewing the recorded videos of each session.

Please share this information with anyone who may be interested. Email
[log in to unmask] with any questions.

Thanks,
Ashley

**************************************************************
               Political Methodology E-Mail List
   Editors:  Yuan (Cecilia) Sui and Gechun Lin
                  <[log in to unmask]>
**************************************************************
     Send messages to [log in to unmask]
  To join the list, cancel your subscription, or modify
                 your subscription settings visit:

  https://www.cambridge.org/core/membership/spm/mailing-list

**************************************************************

ATOM RSS1 RSS2