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	<title>Comments on: Small book review: Super Crunchers</title>
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	<link>http://www.dataminingblog.com/small-book-review-super-crunchers/</link>
	<description>Data mining crossroads - research, applications, news, list of blogs and customized search engine about data mining.</description>
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		<title>By: Data Mining Book Review: Freakonomics &#124; Data Mining Research - www.dataminingblog.com</title>
		<link>http://www.dataminingblog.com/small-book-review-super-crunchers/comment-page-1/#comment-116733</link>
		<dc:creator>Data Mining Book Review: Freakonomics &#124; Data Mining Research - www.dataminingblog.com</dc:creator>
		<pubDate>Sat, 10 Sep 2011 23:14:43 +0000</pubDate>
		<guid isPermaLink="false">http://www.dataminingblog.com/small-book-review-super-crunchers#comment-116733</guid>
		<description>[...] Seven Levitt and Stephen Dubner, a very interesting reading. It&#8217;s the same kind of books as Super Crunchers (Ian Ayres) and The Numerati (Stehen Baker). The concept is to explain given case studies using [...]</description>
		<content:encoded><![CDATA[<p>[...] Seven Levitt and Stephen Dubner, a very interesting reading. It&#8217;s the same kind of books as Super Crunchers (Ian Ayres) and The Numerati (Stehen Baker). The concept is to explain given case studies using [...]</p>
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		<title>By: Christophe Giraud-Carrier</title>
		<link>http://www.dataminingblog.com/small-book-review-super-crunchers/comment-page-1/#comment-615</link>
		<dc:creator>Christophe Giraud-Carrier</dc:creator>
		<pubDate>Wed, 20 Feb 2008 16:34:00 +0000</pubDate>
		<guid isPermaLink="false">http://www.dataminingblog.com/small-book-review-super-crunchers#comment-615</guid>
		<description>Thanks for pointing out &quot;Competing on Analytics&quot;. I just ordered the book. I did, however, very much enjoy Ayres&#039; book. He seems to focus exclusively on regression as a his tool of choice and provides little details indeed about the various applications he mentions. However, he does a very nice job, I think, at making things accessible to a broad audience and several of the examples are rather compelling as they clearly show how data mining (super crunching, or whatever you wish to call our science) often challenges conventional &quot;wisdom&quot;. I am rather certain that Ayres did not write the book for experts but rather for lay people. As such, I think the book is a success, and should certainly help people better appreciate our science and what it can offer. We can always argue about the choice of names, and some of the assertions that Ian does indeed make (and that we could easily take up issue on), but again, overall, I think the book is a welcome boost to data mining in general. I am eager to see what additional light &quot;Competing on Analytics&quot; sheds on our fascinating science. By the way, James, thanks for your review of it, that you pointed to in your comment.&lt;br/&gt;Christophe (http://datamininglab.blopspot.com)</description>
		<content:encoded><![CDATA[<p>Thanks for pointing out &#8220;Competing on Analytics&#8221;. I just ordered the book. I did, however, very much enjoy Ayres&#8217; book. He seems to focus exclusively on regression as a his tool of choice and provides little details indeed about the various applications he mentions. However, he does a very nice job, I think, at making things accessible to a broad audience and several of the examples are rather compelling as they clearly show how data mining (super crunching, or whatever you wish to call our science) often challenges conventional &#8220;wisdom&#8221;. I am rather certain that Ayres did not write the book for experts but rather for lay people. As such, I think the book is a success, and should certainly help people better appreciate our science and what it can offer. We can always argue about the choice of names, and some of the assertions that Ian does indeed make (and that we could easily take up issue on), but again, overall, I think the book is a welcome boost to data mining in general. I am eager to see what additional light &#8220;Competing on Analytics&#8221; sheds on our fascinating science. By the way, James, thanks for your review of it, that you pointed to in your comment.<br />Christophe (<a href="http://datamininglab.blopspot.com)" rel="nofollow">http://datamininglab.blopspot.com)</a></p>
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		<title>By: Sandro Saitta</title>
		<link>http://www.dataminingblog.com/small-book-review-super-crunchers/comment-page-1/#comment-611</link>
		<dc:creator>Sandro Saitta</dc:creator>
		<pubDate>Tue, 12 Feb 2008 09:52:00 +0000</pubDate>
		<guid isPermaLink="false">http://www.dataminingblog.com/small-book-review-super-crunchers#comment-611</guid>
		<description>Thanks for mentioning &quot;Competing on Analytics&quot;, I didn&#039;t know the book. I agree with you on the issue of using &quot;super crunchers&quot; instead of &quot;data miners&quot;. However, since this book is more about vulgarizing the field, I find it alright.&lt;br/&gt;&lt;br/&gt;Ayres states that super crunching is not as easy as data mining, since it concerns decision support on real-life data. This is were I disagree with him (about the definition of what data mining really is).</description>
		<content:encoded><![CDATA[<p>Thanks for mentioning &#8220;Competing on Analytics&#8221;, I didn&#8217;t know the book. I agree with you on the issue of using &#8220;super crunchers&#8221; instead of &#8220;data miners&#8221;. However, since this book is more about vulgarizing the field, I find it alright.</p>
<p>Ayres states that super crunching is not as easy as data mining, since it concerns decision support on real-life data. This is were I disagree with him (about the definition of what data mining really is).</p>
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		<title>By: James Taylor</title>
		<link>http://www.dataminingblog.com/small-book-review-super-crunchers/comment-page-1/#comment-610</link>
		<dc:creator>James Taylor</dc:creator>
		<pubDate>Tue, 12 Feb 2008 00:30:00 +0000</pubDate>
		<guid isPermaLink="false">http://www.dataminingblog.com/small-book-review-super-crunchers#comment-610</guid>
		<description>While I liked Super Crunchers somewhat (review &lt;a HREF=&quot;http://www.smartenoughsystems.com/wiki/Super_Crunchers&quot; REL=&quot;nofollow&quot;&gt;here&lt;/a&gt;), I did not find it as useful as Competing on Analytics (review &lt;a HREF=&quot;http://www.smartenoughsystems.com/wiki/Competing_on_Analytics&quot; REL=&quot;nofollow&quot;&gt;here&lt;/a&gt;). Ian writes well but his refusal to call data mining and data miners by their correct name was irritating and he waved his hands a little too often for me - making assertions and not drilling down.&lt;br/&gt;Anyway, worth reading both books I think&lt;br/&gt;JT&lt;br/&gt;&lt;br/&gt;James Taylor&lt;br/&gt;Author, with Neil Raden, of &lt;a HREF=&quot;http://www.smartenoughsystems.com/wp/about-the-book&quot; REL=&quot;nofollow&quot;&gt;Smart (enough) Systems&lt;/a&gt;</description>
		<content:encoded><![CDATA[<p>While I liked Super Crunchers somewhat (review <a HREF="http://www.smartenoughsystems.com/wiki/Super_Crunchers" REL="nofollow">here</a>), I did not find it as useful as Competing on Analytics (review <a HREF="http://www.smartenoughsystems.com/wiki/Competing_on_Analytics" REL="nofollow">here</a>). Ian writes well but his refusal to call data mining and data miners by their correct name was irritating and he waved his hands a little too often for me &#8211; making assertions and not drilling down.<br />Anyway, worth reading both books I think<br />JT</p>
<p>James Taylor<br />Author, with Neil Raden, of <a HREF="http://www.smartenoughsystems.com/wp/about-the-book" REL="nofollow">Smart (enough) Systems</a></p>
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