The Handbook of Data Science and AI
Generate Value from Data with Machine Learning and Data Analytics - 2nd Edition
Auteurs
- 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
Paramètres
- 573pages
- 21 heures de lecture
En savoir plus sur le livre
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, 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
- Langue
- Année de publication
- 2024
- Reliure
- (rigide),
- État du livre
- Très bon
- Prix
- 20,39 €
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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
- 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
- Éditeur
- Hanser Publications
- Publié
- 2024
- Format
- rigide
- Pages
- 573
- ISBN10
- 1569909342
- ISBN13
- 9781569909348
- Séries
- Catégories
- Mots clés
- Intelligence Artificielle, Statistiques, Base de données, Troisième âge, Apprentissage automatique, Systèmes experts
- 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.