Data Science in Practice: Industry and Business – Ceren Aydın, Erdem Yücesan, Ertürk Erdağı, Hatice Büber Kaya, Kenan Ateşgöz, Melih Küçük, Nihan Özbaltan, Şerife Esra Dinçer – Nobel Bilimsel Eserler

Ana Sayfaya Dön
Data Science in Practice: Industry and Business – Ceren Aydın, Erdem Yücesan, Ertürk Erdağı, Hatice Büber Kaya, Kenan Ateşgöz, Melih Küçük, Nihan Özbaltan, Şerife Esra Dinçer – Nobel Bilimsel Eserler kitap kapağı
Data Science in Practice: Industry and Business – Ceren Aydın, Erdem Yücesan, Ertürk Erdağı, Hatice Büber Kaya, Kenan Ateşgöz, Melih Küçük, Nihan Özbaltan, Şerife Esra Dinçer – Nobel Bilimsel Eserler kitap kapağı
%15 İNDİRİM

Data Science in Practice: Industry and Business

Nobel Bilimsel Eserler

Yazar: Ceren Aydın, Erdem Yücesan, Ertürk Erdağı, Hatice Büber Kaya, Kenan Ateşgöz, Melih Küçük, Nihan Özbaltan, Şerife Esra Dinçer

Stokta Yok

Barkod:9786253642570
ISBN:978-625-364-257-0
Sayfa Sayısı:144 Sayfa
Ürün Ebatı:16,5x24
Dil:Türkçe
Baskı Sayısı:1. Baskı
Basım Tarihi:11/2025
Yazar:Ceren Aydın, Erdem Yücesan ve 6 yazar daha
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Kitap Hakkında

The Power of Data Science for Strategic Vision
Contemporary strategic analysts and researchers need more comprehensive and direct resources than those that present only fundamental concepts. However, it is difficult to comprehend the architecture and the principles of modern information systems without a deep insight into the analytical background of data science.
The editors and researchers of this book refer to data as the most significant element of scientific research. Due to its multi-disciplinary approach, data science provides comprehensive insights for business leaders and professionals in the industry.
How can entrepreneurs utilize data science knowledge?
Is there any suggested data product development workflow for industrial applications?
How do decision support systems employ explainable AI, edge AI and on-device intelligence?
This book will enable researchers and computer scientists to define data science while understanding up-to-date workflows and emerging development opportunities in business and industry. You will find strategic perspectives in this book, as well as the technical and mathematical foundations of data science.

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