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Analytical Skills for AI and Data Science

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Analytical Skills for AI and Data Science

Sách keo gáy, Bìa mềm
 
Thể loại:Computers - Computer Science
 
Năm:2020
 
In lần thứ:1
 
Ngôn ngữ:english
 
Trang:232
 
While several market-leading companies have successfully transformed
their business models by following data- and AI-driven paths, the vast
majority have yet to reap the benefits. How can your business and
analytics units gain a competitive advantage by capturing the full
potential of this predictive revolution? This practical guide presents a
battle-tested end-to-end method to help you translate business
decisions into tractable prescriptive solutions using data and AI as
fundamental inputs.
 
Author Daniel Vaughan shows data scientists,
analytics practitioners, and others interested in using AI to transform
their businesses not only how to ask the right questions but also how to
generate value using modern AI technologies and decision-making
principles. You’ll explore several use cases common to many enterprises,
complete with examples you can apply when working to solve your own
issues.
 
• Break business decisions into stages that can be tackled using different skills from the analytical toolbox
 
• Identify and embrace uncertainty in decision making and protect against common human biases
 
• Customize optimal decisions to different customers using predictive and prescriptive methods and technologies
 
• Ask business questions that create high value through AI- and data-driven technologies