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Chapter Overview
Chapter 1: AudiobookHub Recommendation
Chapter 2: Predictive analytics helps you reduce risks and make smarter, safer decisions overall.
Chapter 3: Predictive efforts raise questions about responsibility, morality, and potential prejudice.
Chapter 4: Data is inherently predictive, but accuracy needs a well-balanced amount of data.
Chapter 5: Machine learning can reveal overlooked risks, yet risks to machine learning exist too and must be managed.
Chapter 6: Combining multiple data sources and models boosts accuracy and performance.
Chapter 7: Human language presents tough challenges, yet major advances have already arrived today.
Chapter 8: Predictive analytics identifies the imperceptible by measuring and quantifying persuasion.
Description
Predictive Analytics (2016) provides a helpful introduction to a complex and fascinating field. Learn how data gets crunched so that people can make more informed decisions, a practice that has drastically altered the way the world conducts its research and runs its businesses. Siegel offers an enlightening glimpse at the wide-ranging areas that have been forever changed, from marketing to health care, banking to artificial intelligence.
Who Should Listen
- Business students interested in applied analytics
- Readers interested in economics
- Tech geeks curious about artificial intelligence