Data-drivenManagement – Bücher, CDs, LPs und mehr, Seite 9

Vidya Subramanian
Applied Machine Learning for Data Science Practitioners

A single-volume reference on data science techniques for evaluating and solving business problems using Applied Machine Learning (ML).Applied Machine Learning for Data Science Practitioners offers a pract…

lieferbar in mind. 4 Wochen

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Johannes Gerbershagen
SAP-Praxishandbuch ABAP Core Data Services (CDS)

ABAP Core Data Services (CDS) sind auf komplexe Datenbeschaffungsszenarien bei der Entwicklung klassischer ABAP- wie auch moderner UI-Applikationen ausgerichtet. Die vorliegende zweite Auflage des Praxish…

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Ines Adouani, Chafik Samir
Regression and Fitting on Manifold-valued Data

This book introduces in a constructive manner a general framework for regression and fitting methods for many applications and tasks involving data on manifolds. The methodology has important and varied a…

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Accelerating Discoveries in Data Science and Artificial Intelligence I

The Volume 1 book on Accelerating Discoveries in Data Science and Artificial Intelligence (Proceedings of ICDSAI 2023), that was held on April 24-25, 2023 by CSUSB USA, the International Association of Ac…

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Dharini Balasubramaniam,
Click, Connect, Compute: Data, Big and Small

Data science fundamentals, using clear, expert explanations and comic illustrations to spark interest and enthusiasm in the next generation of computer scientists!Data, Big and Small delves into the detai…

lieferbar ab 22.1.2026.

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Dharini Balasubramaniam,
Click, Connect, Compute: Data, Big and Small

Data science fundamentals, using clear, expert explanations and comic illustrations to spark interest and enthusiasm in the next generation of computer scientists!Data, Big and Small delves into the detai…

lieferbar in mind. 4 Wochen

Buch

Jeff Calder, Peter J. Olver
Linear Algebra, Data Science, and Machine Learning

This text provides a mathematically rigorous introduction to modern methods of machine learning and data analysis at the advanced undergraduate/beginning graduate level. The book is self-contained and req…

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Stefan Sandfeld
Materials Data Science

Introduction to Data, Data Mining, and Prediction in Materials Science.- A Primer on Probabilities, Distributions and Statistics.- Introduction to Statistical Machine Learning.- Artificial Neural Networks…

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Sara Mannheimer
Scaling Up: How Data Curation Can Help Address Key Issues in Qualitative Data Reuse and Big Social Research

This book explores the connections between qualitative data reuse, big social research, and data curation. A review of existing literature identifies the key issues of context, data quality and trustworth…

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Iris Bohnet, Siri Chilazi
Make Work Fair

Financial Times Best Business Book of 2025 • Winner of SABEW Best in Business Book Award Two leading gender experts and Harvard researchers reveal a new paradigm for fairness at work and offer professiona…

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Luca Belli, Walter Britto Gaspar
Personal Data Architectures in the Brics Countries

The BRICS nations-Brazil, Russia, India, China, and South Africa-recently committed, as enshrined in their 2024 Declaration, to jointly promoting a global framework for data governance. As the number of n…

lieferbar ab 30.6.2026.

Buch

Transactions on Large-Scale Data- and Knowledge-Centered Systems LVIII

Storing and Querying Evolving Graphs in NoSQL Storage Models.- Data Assetization Journey: Concepts, Principles, and Illustrations.- Do Echo Top Heights Improve Deep Learning Rainfall Nowcasts? A Case Stud…

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Annotation of Real-World Data for Artificial Intelligence Systems

This volume constitutes the refereed proceedings of 9th International Workshop on Annotation of Real-World Data for Artificial Intelligence Systems, ARDUOUS 2025, held in Bologna, Italy, during October 25…

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Christof Niemann-Mall
Data Business: Wie digitale Transformation gelingt

¿¿¿ Dieses Buch ist Ihre Abkürzung zum umfassenden Verständnis datengetriebener Unternehmen. Es hilft Ihnen auf kurzweilige, leicht verständliche und praxisnahe Weise, Themen wie digitale Transformation, …

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Multimodal Data Fusion for Bioinformatics Artificial Intelligence

Multimodal Data Fusion for Bioinformatics Artificial Intelligence is a must-have for anyone interested in the intersection of AI and bioinformatics, as it delves into innovative data fusion methods and th…

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Mahesh Subramaniam, Michal Styszynski, Himanshu Tambakuwala
AI Data Center Network Design and Technologies

Artificial intelligence is redefining the scale, architecture, and performance expectations of modern data centers. Training large ML models demand infrastructure capable of moving massive data sets throu…

lieferbar ab 30.1.2026.

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Practical Statistical Learning and Data Science Methods

This contributed volume offers practical implementation strategies for statistical learning and data science techniques, with fully peer-reviewed papers that embody insights and experiences gathered withi…

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Michael Roberts
The Data Book for Educators Who Don't Like Data (and Those Who Want to Use Data Better)

Data is one of the most powerful guides to instructional efficacy, revealing insights about the students you serve. Author Michael Roberts challenges educators to move past correlative data to active, dat…

lieferbar ab 6.3.2026.

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Intelligent Data Engineering and Automated Learning - IDEAL 2025

This two-volume set, LNCS 16238 and LNCS 16239, constitutes the proceedings of the 26th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2025, which was held in Jaén,…

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Ralf Kneuper
Data Protection for Software Development and IT

This book introduces data protection, i.e. the protection of individuals from misuse of their personal data. It provides a special focus on the direct impact on software development, e.g. in the form of f…

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