Predictive analytics
Eric Siegel
Reading Time
at 250 WPM5h 32m
The average reader, reading at a speed of 250 WPM, would take 5h 32m to read Predictive analytics.
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12
days at 30 min/day
332
total minutes
Predictive analytics
by Eric Siegel
Published
2016
Publisher
Wiley
Pages
332
ISBN-13
9781119145677
Description
"Predictive analytics unleashes the power of data. With this technology, computers literally learn from data how to predict future behaviors of individuals. In this updated and revised edition of Predictive Analytics, former Columbia University professor and Predictive Analytics World founder Eric Siegel reveals the power and perils of prediction. New material includes: - The Real Reason the NSA Wants Your Data: Automatic Suspect Discovery. A special sidebar in Chapter 2, "With Power Comes Responsibility," presumes--with much evidence--that the National Security Agency considers PA a strategic priority. Can the organization use PA without endangering civil liberties? - Dozens of new examples from Facebook, Hopper, Shell, Uber, UPS, the U.S. government, and more. The Central Tables' compendium of mini-case studies has grown to 182 entries, including breaking examples. - A much needed warning regarding bad science. Chapter 3, "The Data Effect," includes an in-depth section about an all-too-common pitfall, and how we avoid it, i.e., how to successfully tap data's potential without being fooled by random noise, ensuring sound discoveries are made. - Even more extensive Notes, updated and expanded to 70+ pages, now moved to an online PDF. Now located at www.predictivenotes.com, the Notes include citations and comments that cover the above new content, as well as new citations for many other topics"--
Subjects
Frequently Asked Questions
How many pages are in Predictive analytics?
This edition of Predictive analytics has approximately 332 pages. Please note, this is an estimate and the exact page count can vary between hardcover, paperback, and e-book versions.
How long does it take to read Predictive analytics?
For most readers, Predictive analytics typically takes between 6h 55m and 4h 37m to complete. This is based on the book's length of approximately 83,000 words and common reading speeds.
Here's a detailed breakdown: • Continuous reading at 250 WPM: approximately 5h 32m of focused reading • Casual reading (30 minutes/day): you could finish in roughly 12 days • Estimated word count: 83,000 words
Your individual reading time will vary based on your personal reading pace, the amount of daily reading time, and your familiarity with the subject matter.
What is the word count of Predictive analytics?
The estimated word count for Predictive analytics is approximately 83,000 words. This figure is calculated using industry-standard methods that consider genre-specific word density patterns, typical formatting and layout characteristics, and standard words-per-page ratios for published books.
This is an approximation — actual word count may vary based on font size, formatting, edition, and the presence of illustrations or charts.
Who is the author of Predictive analytics?
Predictive analytics was written by Eric Siegel.
When was Predictive analytics published?
The publication date for this specific edition is 2016. The original work may have been published on a different date.