The Handbook of Data Science and AI
Generate Value from Data with Machine Learning and Data Analytics - 2nd Edition
Autores
- 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
Parámetros
- 573 páginas
- 21 horas de lectura
Más información sobre el libro
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
- Idioma
- Publicado en
- 2024
- Encuadernación
- (Tapa dura),
- Estado del libro
- Muy Bueno
- Precio
- 20,39 €
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- Título
- The Handbook of Data Science and AI
- Subtítulo
- Generate Value from Data with Machine Learning and Data Analytics - 2nd Edition
- Idioma
- Inglés
- Autores
- 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
- Editorial
- Hanser Publications
- Publicado en
- 2024
- Formato
- Tapa dura
- Páginas
- 573
- ISBN10
- 1569909342
- ISBN13
- 9781569909348
- Serie
- Categorías
- Etiquetas
- Inteligencia Artificial, Estadística, Base de Datos, Era Terciaria, Aprendizaje Automático, Sistemas expertos
- Descripción
- 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.