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am 2. Februar 2015
A book by Eric Siegel that gives an introduction to Predictive Analytics and contains principles, ethics, terminology, industry-specific applications, stories and additional resources of Predictive Analytics. Eric Siegel is in the field of Predictive Analytics (and Data Mining) for at least a decade now, and carries attributes of a thought leader in his field. The cross-section stories give the book content a concrete tendency and make it accessible and relatable for virtually every reader. The numerous resources make it a start point for the Predictive Analytics fresher with higher ambitions. Start here if you are interested in Predictive Analytics!
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am 20. September 2014
Very hot topic. Siegel gives impressive and pertinent examples to make his point on predictive anayitics. Unfortunatly, he wastes countless pages rambling on distant personal memories.
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am 13. Februar 2017
I usually do not write reviews of books, but since I feel really deceived by the book, the
comments of others and the positive reviews, I would like to help other people to not
buy the book. Why?
Eric Siegel does not even touch on "predictive analytics" (PA) except in a very very superficial
way. And by superficial I mean that you know more about PA reading the wikipedia article about it
than after reading this book.
Reading it is a frustrating experience: the same dozens "business cases" (a collection of buzzwords
and exaggerations) are repeated over and over again. However, throughout the whole book the reader
does not learn a single thing about decision trees, neural nets or other techniques.
Let me repeat: do not buy this book! It is 300 pages of self-adulation of Eric Siegel...
Hopefully this helps others to let themselves not be blinded by the dazzling marketing for this "book".
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