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Helpful votes received on contributions:
96% (40 of 42)
Location: North Carolina, USA
In My Own Words:
I am a statistics and data mining trainer/consultant. I have a web page dedicated to work related topics including technical book reviews. This profile is more eclectic.
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Contributions
Reviewer Rank: 136,944
- Total Helpful Votes: 38
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I started reading this book because I was assigned to a Data Mining project in an organization where Six Sigma is popular. I recommend this book to anyone that just wants a simple answer to the question: "What is Six Sigma?". Or if you are new to data analysis, in general, you could read this as a warm up before attending training, but don't expect one book (or at least this book) to teach everything about statistics and six sigma. I liked the explanation of the history and what `black belts' learn and do.
The style is a little too informal for my tastes. It is basically 300 pages of bullet statements, but that is in keeping with the idea behind the series. Also, although … Read more
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2 of 3 people found the following review helpful:
I will recommend this to one or two colleagues, but it will not be something I will recommend to clients.
The first thing you notice about this book is its very academic style. It has numbered paragraphs like 2.0, and 7.3.1.12. It been used a graduate text, presumably for mathematicians and computer scientists. I think it would be good for that purpose. It could work quite well for statisticians that are interested in the details of data mining algorithms. It is in a series in Machine Perception and Artificial Intelligence. Other titles include "Fundamentals of Robotics", and "Bridging the Gap Between Graph Edit Distance and Kernel Machines", so don't confuse this book wit… Read more
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2 of 2 people found the following review helpful:
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Total Helpful Votes: 2
This is simply a working list of books that I am in the grip of.
I have recently completed, or have begun, or I am about to start the books on this list. A book's appearance here indicates that it was worth starting, or it is very high on my list to start. I only review books that I have read&hellip
If I win the lottery, I will take a couple of years off and study philosophy. In the meantime, I have this problem with buying every Wittgenstein book I find. Obviously, one does not need multiple "intro" books, but I have enjoyed comparing them.
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