Neuware - 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.

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Detalles bibliogr�ficos

T�tulo: Analytical Skills for AI and Data Science : Building Skills for an Ai-Driven Enterprise
Editor: O'reilly Media Jun 2020
Fecha de publicaci�n: 2020
Idioma: Ingl�s
ISBN 10: 1492060941
ISBN 13: 9781492060949
Encuadernaci�n: Taschenbuch
Estado: Neu

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Sinopsis

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

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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.

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Das Unternehmen AHA-BUCH GmbH: Seit der Gr�ndung von AHA-BUCH im Juli 2005 ist unser Hauptziel, zufriedenen Kunden so schnell und so preisg�nstig wie m�glich ihren B�cherwunsch zu erf�llen. Unsere Firma besch�ftigt 16 Mitarbeiter, die nur ein Ziel kennen: den Kunden und seine W�nsche! Auf �ber 3700 m2 Fl�che haben wir �ber 100.000 B�cher, Modernes Antiquariat und Spiele auf Lager.

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AHA-BUCH GmbH
Garlebsen 48, Einbeck, 37574, Germany

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