The Handbook of Data Science and AI
Generate Value from Data with Machine Learning and Data Analytics - 2nd Edition
Autorzy
- 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
Parametry
- 573 strony
- 21 godzin czytania
Więcej o książce
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.
W magazynie mamy łącznie książkiThe Handbook of Data Science and AI(2024)
Zakup książki
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
- Język
- Rok wydania
- 2024
- Oprawa
- (twarda),
- Stan książki
- Bardzo dobry
- Cena
- 89,79 zł
Metody płatności
Nikt jeszcze nie ocenił.
- Tytuł
- The Handbook of Data Science and AI
- Podtytuł
- Generate Value from Data with Machine Learning and Data Analytics - 2nd Edition
- Język
- angielski
- Autorzy
- 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
- Wydawca
- Hanser Publications
- Rok wydania
- 2024
- Oprawa
- twarda
- Liczba stron
- 573
- ISBN10
- 1569909342
- ISBN13
- 9781569909348
- Seria
- Kategorie
- Tagi
- Sztuczna inteligencja, Statystyka, Bazy danych, Trzeciorzęd, Uczenie maszynowe, Systemy eksperckie
- Opis
- 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.