Predictive Analytics, Data Mining and Big Data: Myths, Misconceptions and Methods

by Steven Finlay

1. Introduction 2. Using Predictive Models 3. Analytics, Organization and Culture 4. The Value of Data 5. Ethics and Legislation 6. Types of Predictive Models 7. The Predictive Analytics Process 8. How to Build a Predictive Model 9. Text Mining and Social Network Analysis 10. Hardware, Software and All That Jazz

264 pages, Paperback

First published July 2, 2014

Reviews

[☘Misericordia☘ ⚡ϟ⚡⛈⚡☁ ❇️❤❣ · Rating 5 out of 5]

A nice, very high-level overview. What it feels to be really lacking is some methodology to the methods listed. But that's just me being my cranky nitpicker self.

[BOBBY Z · Rating 5 out of 5]

One of the more down to earth books that I have read in this field. Good management introduction to predictive analytics that is objective and does not seem to be pushING a particular vendor solution or ideology. Chapters on ethics and process particularly useful.

[Ben Shirley · Rating 5 out of 5]

Really good, explained everything in an easy to digest way, helping to understand Analytics in a new light.

[Vadivu]

nice

[Yen · Rating 4 out of 5]

A little dated but fundamental concepts still hold, making it a good primer to the field of predictive analytics. Written for business owners, managers, and the uninitiated, concepts are explained for the layman with no complex math mentioned.