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
--

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