The Handbook of Data Science and AI
Generate Value from Data with Machine Learning and Data Analytics - 2nd Edition
Auteurs
- Stefan Papp
- Mario Meir Huber
- Georg Langs
- Günther Zäuner
- Karin Bruckmüller
- Zoltán Tóth
- Wolfgang Weidinger
- Katherine Munro
- Danko Nikolic
- Annalisa Cadonna
- Roxane Licandro
- Rania Wazir
- Eder, Jana
- Antosova Vesela, Barbora
- McIntyre, Sean
- Móra, György
- Rugli, Victoria
- Pasieska, Manuel
- Hahn, Gerald A.
- Gorzala, Jeannette
- Mata, Christian
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Paramètres
- 573pages
- 21 heures de lecture
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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.
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The Handbook of Data Science and AI, Stefan Papp, Mario Meir Huber, Georg Langs, Günther Zäuner, Karin Bruckmüller, Zoltán Tóth, Wolfgang Weidinger, Katherine Munro, Danko Nikolic, Annalisa Cadonna, Roxane Licandro, Rania Wazir, Eder, Jana, Antosova Vesela, Barbora, McIntyre, Sean, Móra, György, Rugli, Victoria, Pasieska, Manuel, Hahn, Gerald A., Gorzala, Jeannette, Mata, Christian
- Langue
- Année de publication
- 2024
- Reliure
- (rigide)
Modes de paiement
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- Titre
- The Handbook of Data Science and AI
- Sous-titre
- Generate Value from Data with Machine Learning and Data Analytics - 2nd Edition
- Langue
- Anglais
- Auteurs
- Stefan Papp, Mario Meir Huber, Georg Langs, Günther Zäuner, Karin Bruckmüller, Zoltán Tóth, Wolfgang Weidinger, Katherine Munro, Danko Nikolic, Annalisa Cadonna, Roxane Licandro, Rania Wazir, Eder, Jana, Antosova Vesela, Barbora, McIntyre, Sean, Móra, György, Rugli, Victoria, Pasieska, Manuel, Hahn, Gerald A., Gorzala, Jeannette, Mata, Christian
- Éditeur
- Hanser Publications
- Publié
- 2024
- Format
- rigide
- Pages
- 573
- ISBN10
- 1569909342
- ISBN13
- 9781569909348
- Séries
- Mots clés
- Intelligence Artificielle, Statistiques, Base de données, Algorithmes, Analyse de données, Big Data, Apprentissage automatique, Systèmes experts
- Évaluation
- 3,5 sur 5
- Description
- 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.