Predictive Analytics: Summary Review
This is a summary review of Predictive Analytics containing key details about the book.
What is Predictive Analytics About?
"Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die" is a book by Eric Siegel that explores the world of predictive analytics. Predictive Analytics explains the use of data, statistical algorithms, and machine learning techniques to identify the likelihood of future outcomes based on historical data.
Predictive analytics(aka machine learning) unleashes the power of data. With this technology, the computer literally learns from data how to predict the future behavior of individuals. Perfect prediction is not possible, but putting odds on the future drives millions of decisions more effectively, determining whom to call, mail, investigate, incarcerate, set up on a date, or medicate.
Summary Points & Takeaways from Predictive Analytics
Some key summary points and takeaways from the book include:
* The book provides a comprehensive overview of predictive analytics and its applications, including data analysis, machine learning, and statistical modeling.
* The author argues that predictive analytics is a powerful tool for organizations to make data-driven decisions, and provides examples and case studies of businesses and organizations that have successfully leveraged predictive analytics.
* The book covers the basics of predictive analytics, including data collection and preparation, as well as the development of predictive models and algorithms.
* The author also provides insights into the ethical and social implications of predictive analytics, and provides advice on how organizations can ensure that they use predictive analytics in a responsible and ethical manner.
* Predictive Analytics provides a comprehensive overview of the various applications of predictive analytics, including marketing, customer relationship management, fraud detection, and risk assessment.
* The book also provides advice on how organizations can effectively implement predictive analytics, including the selection of tools and technologies, and the development of a predictive analytics strategy.
* The author also provides case studies and examples of organizations that have successfully leveraged predictive analytics to make data-driven decisions, and provides insights into the challenges and opportunities associated with implementing predictive analytics.
* In conclusion, Predictive Analytics is a comprehensive guide to the world of predictive analytics, and provides a roadmap for organizations to make data-driven decisions through the use of predictive analytics.
Who is the author of Predictive Analytics?
Predictive analytics(aka machine learning) unleashes the power of data. With this technology, the computer literally learns from data how to predict the future behavior of individuals. Perfect prediction is not possible, but putting odds on the future drives millions of decisions more effectively, determining whom to call, mail, investigate, incarcerate, set up on a date, or medicate.
Book Details
- Print length: 302 pages
- Genre: Business, Nonfiction, Science
Predictive Analytics Chapters
Chapter 1 :Liftoff! Prediction Takes Action (deployment)
Chapter 2:With Power Comes Responsibility: Hewlett-Packard, Target, the Cops, and the NSA Deduce Your Secrets (ethics)
Chapter 3:The Data Effect: A Glut at the End of the Rainbow (data)
Chapter 4:The Machine That Learns: A Look inside Chase's Prediction of Mortgage Risk (modeling)
Chapter 5:The Ensemble Effect: Netflix, Crowdsourcing, and Supercharging Prediction (ensembles)
Chapter 6:Watson and the Jeopardy! Challenge (question answering)
Chapter 7:Persuasion by the Numbers: How Telenor, U.S. Bank, and the Obama Campaign Engineered Influence (uplift)
What is a good quote from Predictive Analytics?
Top Quote: "Data about a person is not as valuable as the person, but since the data is so much cheaper to manage, it’s a far better investment. " (Meaning) - Predictive Analytics Quotes, Eric Siegel
What do critics say?
Here's what one of the prominent reviewers had to say about the book: "The Freakonomics of big data." — Stein Kretsinger, founding executive of Advertising.com
* The editor of this summary review made every effort to maintain information accuracy, including any published quotes, chapters, or takeaways. If you're interested in furthering your personal growth, you may want to explore my list of favorite self-improvement books. These books, which have had a significant impact on my life, are carefully curated and come with summaries and key lessons.
Chief Editor
Tal Gur is an author, founder, and impact-driven entrepreneur at heart. After trading his daily grind for a life of his own daring design, he spent a decade pursuing 100 major life goals around the globe. His journey and most recent book, The Art of Fully Living, has led him to found Elevate Society.
