[R] Free Webinar: Vendor Neutral Intro to Data Mining for AbsoluteBeginners, May 23, 2007
Brian Koch
bkoch at decisiondevelopment.com
Wed May 2 21:39:09 CEST 2007
Lisa: Can we expect to see R used [exclusively, I would hope] during
your demonstration? Learning "how data mining models work: the inputs,
the outputs, and the nature of the predictive mechanism" only makes
sense for me if I can follow/retrace your steps on my systems. Thank
you.
Brian J. Koch
Data Manager
Decision Development Inc
-----Original Message-----
From: r-help-bounces at stat.math.ethz.ch
[mailto:r-help-bounces at stat.math.ethz.ch] On Behalf Of Lisa Solomon
Sent: Tuesday, May 01, 2007 1:46 PM
To: r-help
Subject: [R] Free Webinar: Vendor Neutral Intro to Data Mining for
AbsoluteBeginners, May 23, 2007
ONLINE VENDOR NEUTRAL INTRO TO DATA MINING FOR ABSOLUTE BEGINNERS (no
charge)
A non-technical data mining introduction for absolute beginners May 23,
2007, 10AM - 11AM PST Future Sessions (June 14, Sept 7)
To register for the webinar
-------------------------------------------------------
1. Go to https://salford.webex.com/salford/onstage/g.php?d=928318845&t=a
2. Click "Enroll".
3. On the registration form, enter your information and then click
"Submit".
Once you have registered, you will receive a confirmation email message
with instructions on how to join the event, as well as audio and system
requirements. Please read this confirmation email carefully!
This one-hour webinar is a perfect place to start if you are new to data
mining and have little-to-no background in statistics or machine
learning.
In one hour, we will discuss:
**Data basics: what kind of data is required for data mining and
predictive analytics; In what format must the data be; what steps are
necessary to prepare data appropriately
**What kinds of questions can we answer with data mining
**How data mining models work: the inputs, the outputs, and the nature
of the predictive mechanism
**Evaluation criteria: how predictive models can be assessed and their
value measured
**Specific background knowledge to prepare you to begin a data mining
project.
Please do not hesitate to contact me if you have any questions.
Sincerely,
Lisa Solomon
lisas at salford-systems.com
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