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Data Science, Big Data, Artificial Intelligence and Generative AI are currently some of the most talked-about concepts in industry, government, and society, and yet also the most misunderstood. This book will clarify these concepts and provide you with practical knowledge to apply them. Understand crucial data science concepts, from statistics and mathematics to legal and ethical considerations. Learn how to build data platforms and deploy safe and robust data projects to production. Gain the vocabulary to communicate technical requirements and roadmaps to diverse business stakeholders. Dive into practical case studies that illustrate how knowledge generated from data is changing various industries over the long term.

Skladom máme celkom knihy The Handbook of Data Science and AI (2024).

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The Handbook of Data Science and AI, Katherine Munro, Stefan Papp, Zoltán Tóth, Wolfgang Weidinger, Danko Nikolic, Annalisa Cadonna, Antosova Vesela, Barbora, Karin Bruckmüller, Eder, Jana, Gorzala, Jeannette, Hahn, Gerald A., Georg Langs, Roxane Licandro, Mata, Christian, McIntyre, Sean, Mario Meir Huber, Móra, György, Pasieska, Manuel, Rugli, Victoria, Rania Wazir, Günther Zäuner

Jazyk
Rok vydania
2024
Väzba
(pevná),
Stav knihy
Veľmi dobrá
Cena
20,39 €

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Titul
The Handbook of Data Science and AI
Podtitul
Generate Value from Data with Machine Learning and Data Analytics - 2nd Edition
Jazyk
anglicky
Rok vydania
2024
Väzba
pevná
Počet strán
573
ISBN10
1569909342
ISBN13
9781569909348
Série
Anotácia
Data Science, Big Data, Artificial Intelligence and Generative AI are currently some of the most talked-about concepts in industry, government, and society, and yet also the most misunderstood. This book will clarify these concepts and provide you with practical knowledge to apply them. Understand crucial data science concepts, from statistics and mathematics to legal and ethical considerations. Learn how to build data platforms and deploy safe and robust data projects to production. Gain the vocabulary to communicate technical requirements and roadmaps to diverse business stakeholders. Dive into practical case studies that illustrate how knowledge generated from data is changing various industries over the long term.