
Analytical Skills for AI and Data Science
Building Skills for an AI-driven Enterprise
Daniel Vaughan(Author)
O'Reilly (Publisher)
Published on 9. June 2020
Book
Paperback/Softback
275 pages
978-1-4920-6094-9 (ISBN)
Description
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
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
More details
Language
English
Place of publication
Sebastopol
United States
Product notice
Paperback (trade)
Unsewn / adhesive bound
Dimensions
Height: 234 mm
Width: 180 mm
Thickness: 17 mm
Weight
426 gr
ISBN-13
978-1-4920-6094-9 (9781492060949)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

E-Book
05/2020
O'Reilly
€58.99
Available for download

E-Book
05/2020
O'Reilly
€58.99
Available for download
Person
Daniel Vaughan is the data science lead for Airbnb in Latin America. Previously he was Head of Data Science and Chief Data Officer at Telefonica Mexico. He has more than 15 years of experience solving problems using predictive and prescriptive methods.