Eric Siegel Books
Eric Siegel is a former Columbia University professor and the founder of Predictive Analytics World. He is an expert in machine learning and data science, known for his work in making analytics accessible to business and general audiences.
Known for: Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die
Books by Eric Siegel
Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die
Predictive Analytics explains how data can be used to forecast human behavior, from marketing and finance to healthcare and politics. Eric Siegel introduces the science behind predictive modeling, showing how organizations leverage data to anticipate outcomes and make informed decisions. The book demystifies complex algorithms and illustrates their real-world applications through engaging case studies.
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From Data to Discovery: How Machines Learn Human Behavior
The first step in predictive analytics is transforming raw data into predictive models. I often tell my students that data itself has no magical power; the magic lies in how we make sense of it. Machine learning algorithms serve as our interpretive lens. They find patterns in historical data that ca...
From Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die
Case Study: Target and the Power of Behavioral Clues
One of the most talked-about examples I present is the now-famous Target pregnancy prediction case. The retailer wanted to identify customers who were expecting, not from conversations or surveys, but purely from shopping patterns. By analyzing purchase histories across millions of customers, Target...
From Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die
About Eric Siegel
Eric Siegel is a former Columbia University professor and the founder of Predictive Analytics World. He is an expert in machine learning and data science, known for his work in making analytics accessible to business and general audiences.
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Eric Siegel is a former Columbia University professor and the founder of Predictive Analytics World. He is an expert in machine learning and data science, known for his work in making analytics accessible to business and general audiences.
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