Predictive Analytics: The Power To Predict Who ... Direct

The book explains that predictive analytics is not about "perfect" forecasting but about "putting odds on the future" to drive more effective decisions. Siegel introduces : The Prediction Effect : A little prediction goes a long way. The Data Effect : Data is always predictive.

Written by former Columbia University professor and founder of Machine Learning Week, Eric Siegel, this bestselling book provides a non-technical introduction to how machine learning and big data are used to predict human behavior. Predictive Analytics: The Power to Predict Who ...

: Induction is reasoning from detailed facts to general principles. The book explains that predictive analytics is not

: Combining models (crowdsourcing) compensates for individual limitations. Written by former Columbia University professor and founder

: Persuasion can be predicted through outcomes (uplift modeling). Key Real-World Examples

Siegel uses over 180 case studies from major organizations to illustrate these concepts: