If You're Curious About These Questions...
You should listen to this audiobook
- Did you know that companies can actually predict your next move—from what you'll buy to when you might quit your job—before you even realize it yourself?
- Have you ever wondered how a single line of code can help doctors save lives or stop a bank robbery before it even happens?
- What’s the secret to turning massive piles of raw data into a 'crystal ball' that can forecast the future of global markets and personal health?
Listen to Predictive Analytics — Free Audiobook
Key Takeaways from Predictive Analytics
- Understand how predictive analytics lowers business risks by using machine learning and backtesting to anticipate specific individual behaviors rather than general trends.
- Discover the ethical dilemmas and privacy concerns of data mining, including how predictive models can inadvertently enforce prejudice and racial profiling.
- Learn why an abundance of data requires careful balancing to avoid costly false correlations, like the statistical illusion that orange cars are less likely to break down.
- Explore how organizations leverage predictive scoring and everyday behavioral data to optimize targeted marketing, forecast investments, and even prevent localized crimes.
- Find out how machine learning empowers predictive models to continuously adapt and uncover disguised 'microrisks' that traditional analysis might overlook.
Predictive Analytics — Full Chapter Overview
Chapter 1: 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.
Predictive Analytics Summary & Overview
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 to Predictive Analytics?
- Business students interested in applied analytics
- Readers interested in economics
- Tech geeks curious about artificial intelligence
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