Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die, Revised and Updated by Eric Siegel, Steven Menasche (Narrator)
Requirements: MP3 player, 64 kbps, ~10:51:00, 311 MB
Overview: In this rich, fascinating, and surprisingly accessible introduction, leading expert Eric Siegel reveals how predictive analytics works and how it affects everyone every day. Rather than a "how to" for hands-on techies, the book serves lay listeners and experts alike by covering new case studies and the latest state-of-the-art techniques.
Prediction is booming. It reinvents industries and runs the world. Companies, governments, law enforcement, hospitals, and universities are seizing upon the power. These institutions predict whether you're going to click, buy, lie, or die.
Why? For good reason: Predicting human behavior combats risk, boosts sales, fortifies health care, streamlines manufacturing, conquers spam, optimizes social networks, toughens crime fighting, and wins elections.
Genre: Audiobooks, Non-Fiction, Business

Download Instructions:
https://userscloud.com/o9oj6mum5ryv
(Closed Filehost) http://filescdn.com/l4lms7dj1u3v
Requirements: MP3 player, 64 kbps, ~10:51:00, 311 MB
Overview: In this rich, fascinating, and surprisingly accessible introduction, leading expert Eric Siegel reveals how predictive analytics works and how it affects everyone every day. Rather than a "how to" for hands-on techies, the book serves lay listeners and experts alike by covering new case studies and the latest state-of-the-art techniques.
Prediction is booming. It reinvents industries and runs the world. Companies, governments, law enforcement, hospitals, and universities are seizing upon the power. These institutions predict whether you're going to click, buy, lie, or die.
Why? For good reason: Predicting human behavior combats risk, boosts sales, fortifies health care, streamlines manufacturing, conquers spam, optimizes social networks, toughens crime fighting, and wins elections.
Genre: Audiobooks, Non-Fiction, Business
Download Instructions:
https://userscloud.com/o9oj6mum5ryv
(Closed Filehost) http://filescdn.com/l4lms7dj1u3v