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Predictive analytics: the power to predict who will click, buy, lie, or die
(eAudiobook)

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Published:
[United States] : Gildan Media, 2017.
Content Description:
1 online resource (1 audio file (660 min.)) : digital.
Status:
Description

Award-winning | Used by over 30 universities | Translated into 9 languages An introduction for everyone. In this rich, fascinating - surprisingly accessible - introduction, leading expert Eric Siegel reveals how predictive analytics works, and how it affects everyone every day. Rather than a "how to" for hands-on techies, the book serves lay readers and experts alike by covering new case studies and the latest state-of-the-art techniques. Prediction is booming. It reinvents industries and runs the world. Companies, governments, law enforcement, hospitals, and universities are seizing upon the power. These institutions predict whether you're going to click, buy, lie, or die. Why? For good reason: predicting human behavior combats risk, boosts sales, fortifies healthcare, streamlines manufacturing, conquers spam, optimizes social networks, toughens crime fighting, and wins elections. How? Prediction is powered by the world's most potent, flourishing unnatural resource: data. Accumulated in large part as the by-product of routine tasks, data is the unsalted, flavorless residue deposited en masse as organizations churn away. Surprise! This heap of refuse is a gold mine. Big data embodies an extraordinary wealth of experience from which to learn. Predictive Analytics 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. In this lucid, captivating introduction - now in its Revised and Updated edition - former Columbia University professor and Predictive Analytics World founder Eric Siegel reveals the power and perils of prediction: How does predictive analytics work? This jam-packed audiobook satisfies by demystifying the intriguing science under the hood. For future hands-on practitioners pursuing a career in the field, it sets a strong foundation, delivers the prerequisite knowledge, and whets your appetite for more. A truly omnipresent science, predictive analytics constantly affects our daily lives. Whether you are a consumer of it - or consumed by it - get a handle on the power of Predictive Analytics.

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Format:
eAudiobook
Edition:
Unabridged.
Language:
English
ISBN:
9781469067100 (sound recording : hoopla Audio Book), 1469067102 (sound recording : hoopla Audio Book)

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Restrictions on Access
Digital content provided by hoopla.
Participants/Performers
Steven Menasche.
Description
Award-winning | Used by over 30 universities | Translated into 9 languages An introduction for everyone. In this rich, fascinating - surprisingly accessible - introduction, leading expert Eric Siegel reveals how predictive analytics works, and how it affects everyone every day. Rather than a "how to" for hands-on techies, the book serves lay readers and experts alike by covering new case studies and the latest state-of-the-art techniques. Prediction is booming. It reinvents industries and runs the world. Companies, governments, law enforcement, hospitals, and universities are seizing upon the power. These institutions predict whether you're going to click, buy, lie, or die. Why? For good reason: predicting human behavior combats risk, boosts sales, fortifies healthcare, streamlines manufacturing, conquers spam, optimizes social networks, toughens crime fighting, and wins elections. How? Prediction is powered by the world's most potent, flourishing unnatural resource: data. Accumulated in large part as the by-product of routine tasks, data is the unsalted, flavorless residue deposited en masse as organizations churn away. Surprise! This heap of refuse is a gold mine. Big data embodies an extraordinary wealth of experience from which to learn. Predictive Analytics 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. In this lucid, captivating introduction - now in its Revised and Updated edition - former Columbia University professor and Predictive Analytics World founder Eric Siegel reveals the power and perils of prediction: How does predictive analytics work? This jam-packed audiobook satisfies by demystifying the intriguing science under the hood. For future hands-on practitioners pursuing a career in the field, it sets a strong foundation, delivers the prerequisite knowledge, and whets your appetite for more. A truly omnipresent science, predictive analytics constantly affects our daily lives. Whether you are a consumer of it - or consumed by it - get a handle on the power of Predictive Analytics.
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Mode of access: World Wide Web.
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Citations
APA Citation (style guide)

Siegel, E., & Menasche, S. (2017). Predictive analytics: the power to predict who will click, buy, lie, or die. Unabridged. [United States]: Gildan Media.

Chicago / Turabian - Author Date Citation (style guide)

Siegel, Eric and Steven. Menasche. 2017. Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die. [United States]: Gildan Media.

Chicago / Turabian - Humanities Citation (style guide)

Siegel, Eric and Steven. Menasche, Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die. [United States]: Gildan Media, 2017.

MLA Citation (style guide)

Siegel, Eric,, and Steven Menasche. Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die. Unabridged. [United States]: Gildan Media, 2017.

Note! Citation formats are based on standards as of July 2010. Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy.
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Grouped Work ID:
c05a20a3-adf0-5725-0ed6-dd095a826375
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Hoopla Extract Information

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Record Information

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Last Grouped Work Modification TimeJun 17, 2021 02:29:23 AM

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