R help - Oct 2010 - online course: SVM in R with Lutz Hamel at statistics.com

Support vector machines (SVMs) have established themselves as
one of the preeminent machine learning models for classification
and regression over the past decade or so, frequently outperforming
artificial neural networks in task such as text mining and
bioinformatics.  Dr. Lutz Hamel, author of "Knowledge Discovery with
Support Vector Machines" from Wiley will present his online course
“Introduction to Support Vector Machines In R” Nov. 20 – Dec. 18 at
statistics.com.

“Support Vector Machines in R” will give you an understanding on
what is going on "under the hood" when using SVMs. After completing
this course, you will be able to interpret the performance of
SVM models and make appropriate choices for model parameters
during the model evaluation and selection cycle. You will
understand the difference between linear, polynomial, and
gaussian kernels and know how to tune their parameters. In
addition, you will have a deep understanding on how the cost
constant "C" affects the quality of your models.

Dr. Lutz Hamel teaches at the University of Rhode Island and was
the founder of the machine learning and data mining group there.
He is the author of Knowledge Discovery with Support Vector Machines
(the course text). Before becoming an academic, Dr. Hamel was
Director of Software Development at Thinking Machine Corporation,
and Vice President of R&D for Bluestreak, where he oversaw the
development of advanced technologies for online ad delivery and
optimization, and directed the building of a next generation data
warehouse-driven system for campaign analysis and design tools.

Participants can ask questions and exchange comments with
Dr. Hamel via a private discussion board throughout the course.

Details and registration:

http://www.statistics.com/ourcourses/SVM/

Thanks for your consideration,

Janet Dobbins
-- 
statistics.com
the source for statistics education

612 N. Jackson St.
Arlington, VA 22201
703.522.5410
703.522.5846-fax
jdobbins@statistics.com

	[[alternative HTML version deleted]]

Sorry, I was a little numb at that time.




On Thu, Oct 28, 2010 at 10:45 AM, David Winsemius
<dwinsemius@comcast.net>wrote:
> In a sense you deserve what you have asked for. You have asked thousands of
> people to send you a copy when you could have instead searched the archives
> yourself and gotten a much quicker answer without inviting the r-help world
> to mail-bomb you.
>
> https://stat.ethz.ch/pipermail/r-help/
>
>
>
> --
> David.
>
> Begin forwarded message:
>
> From: Janet  Dobbins <jdobbins@statistics.com>
>> Date: October 25, 2010 4:50:44 PM EDT
>> To: r-help@r-project.org
>> Subject: [R] online course: SVM in R with Lutz Hamel at statistics.com
>>
>> Support vector machines (SVMs) have established themselves as
>> one of the preeminent machine learning models for classification
>> and regression over the past decade or so, frequently outperforming
>> artificial neural networks in task such as text mining and
>> bioinformatics.  Dr. Lutz Hamel, author of "Knowledge Discovery
with
>> Support Vector Machines" from Wiley will present his online course
>> “Introduction to Support Vector Machines In R” Nov. 20 – Dec. 18 at
>> statistics.com.
>>
>> “Support Vector Machines in R” will give you an understanding on
>> what is going on "under the hood" when using SVMs. After
completing
>> this course, you will be able to interpret the performance of
>> SVM models and make appropriate choices for model parameters
>> during the model evaluation and selection cycle. You will
>> understand the difference between linear, polynomial, and
>> gaussian kernels and know how to tune their parameters. In
>> addition, you will have a deep understanding on how the cost
>> constant "C" affects the quality of your models.
>>
>> Dr. Lutz Hamel teaches at the University of Rhode Island and was
>> the founder of the machine learning and data mining group there.
>> He is the author of Knowledge Discovery with Support Vector Machines
>> (the course text). Before becoming an academic, Dr. Hamel was
>> Director of Software Development at Thinking Machine Corporation,
>> and Vice President of R&D for Bluestreak, where he oversaw the
>> development of advanced technologies for online ad delivery and
>> optimization, and directed the building of a next generation data
>> warehouse-driven system for campaign analysis and design tools.
>>
>> Participants can ask questions and exchange comments with
>> Dr. Hamel via a private discussion board throughout the course.
>>
>> Details and registration:
>>
>> http://www.statistics.com/ourcourses/SVM/
>>
>> Thanks for your consideration,
>>
>> Janet Dobbins
>> --
>> statistics.com
>> the source for statistics education
>>
>> 612 N. Jackson St.
>> Arlington, VA 22201
>> 703.522.5410
>> 703.522.5846-fax
>> jdobbins@statistics.com
>>
>>        [[alternative HTML version deleted]]
>>
>> ______________________________________________
>> R-help@r-project.org mailing list
>> https://stat.ethz.ch/mailman/listinfo/r-help
>> PLEASE do read the posting guide
>>
http://www.R-project.org/posting-guide.html<http://www.r-project.org/posting-guide.html>
>> and provide commented, minimal, self-contained, reproducible code.
>>
>
> David Winsemius, MD
> West Hartford, CT
>
>

-- 
Sincerely,
Changbin
--

	[[alternative HTML version deleted]]