File Size: 1425 KB
Print Length: 274 pages
Publisher: Bantam; 1 edition (August 28, 2007)
Publication Date: August 28, 2007
You won't find anything ground breaking stuff here, but I can ensure you that you will find the nuts and bolts of analysis, supported with stories from the actual life.
It is a fairly easy read who also offers a few pointers as to what other materials to read. I can highly recommend it., " Attempted and True" vs Innovative
" Principle of Thumb" vs Technological Method
" Gut Hunch" vs Verifiable Methodology
If you are on the left aspect of each of those pairs - read this to see why " the other side" can be very helpful.
If you are on the right side of each of these pairs - read this to understand why maybe " vs" should at least be " and" - using scientific method and techniques to quantify or change the best guesses of " the experts" - combining factors that the experts consider in ways that produce repeatable and verifiable results - from hockey to wine and farther afield., Despite being almost a decade old now, that is a great book for a general background in the world of big data. Interesting to see how things have changes since then. By way of example a TB is not almost as impressive when it was when this book came out!, We are not a statistician but I came across this book very enlightening otherwise, at time, disconcerting. While Super Crunching is here to stay it is frightening what is known about each individual., This book provided for me critical, foundational background knowledge as I researched for and had written my book (on the topic of predictive analytics). This guide is an ideas, and one of a small number of must-reads I heartily urge all creators and thinkers to pack for your next airline flight!
Eric Siegel, Ph. Deb.
Founder, Predictive Analytics World
Author, [... ], Interesting read, Great guide with lots of examples of real world applications. Not really enough explanation of the math, but it will encourage the individual to seek more information, Mind boggling... Truly fascinating read if you are in all in melody with statistical inference.
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