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RE: [PLUG] OT: Good Books on Machine Learning?
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down here the ai class used Artificial Intelligence A Modern Approach by
Stuart Russel and Peter Norvig, Prentice Hall and Data Mining Concepts and
Techniques by Jaiwei Han and Micheline Kamber, Morgan Kaufmann Publishers.
I know the first was fairly good, don't know too much about the second as I
dropped the class before it was used. I dropped because I didn't like the
profs, not because the books were bad. The first was interesting, but,
very, very dry.
That should give you an idea of what's out there.
-brad
-----Original Message-----
From: plug-admin@lists.phillylinux.org
[mailto:plug-admin@lists.phillylinux.org]On Behalf Of Kyle R . Burton
Sent: Wednesday, 22 May 2002 12:09 AM
To: PLUG
Subject: [PLUG] OT: Good Books on Machine Learning?
I had an hour to kill last night while I was in the vicinity of a Barnes and
Noble, which, as always, ended up lightening my wallet a little bit.
I do some data mining at work, so I've become more interested in topics
related to deriving and discovering information, pattern and type
recognicion
and machine learning in general. I've done some reading, and tried my hand
at some code, but I don't have a formal background in comp sci and that
leaves
me feeling a little lost.
I couldn't resist picking up Paradigms of Artificial Intelligence
Programming:
Case Studies in Common Lisp" by Peter Norvig, as the table of contents
seemed
to cover an interesting range of topics. I also was looking at a hard cover
book titled "Machine Learning" (I can't remember the full title, or the
author,
the cover was light blue) that looked good, but the $108 price tag made me
put
it back on the shelf.
What books have you read? Which ones would you recommend? Which ones
wouldn't you recommend? Which authors would you recommend?
Are there any on-line resources you've used or could recommend?
Thanks,
Kyle
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