Data-drivenTechniques – Bücher, CDs, LPs und mehr, Seite 8

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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Data-Centric Business and Applications

This book provides a comprehensive insight into contemporary management challenges shaped by digital transformation, operational excellence, and data-driven human resource strategies. It presents innovati…

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Michael Sullivan
Statistics: Informed Decisions Using Data, Global Edition

Statistics: Informed Decisions Using Data helps you see the bigger picture and make informed choices for real-life situations such as buying a car, investing money, and choosing a place to live. It offers…

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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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Byron J. T. Morgan, Emily B. Dennis, Stephen T. Buckland
Statistical Models for Wildlife Survey Data

This book describes a range of models for ecological data sets using both classical and Bayesian methods of inference, and illustrates their use through a varied set of real examples. These examples exhib…

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Neha Mishra
International Trade Law and Global Data Governance

This open access bookexamines how international trade agreements apply to domestic regulations on cross-border data flows and then proposes a multilayered framework to align international trade law with e…

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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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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, …

lieferbar innerhalb 2-3 Wochen

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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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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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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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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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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…

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Markus Neuhäuser, Graeme D Ruxton
The Statistical Analysis of Small Data Sets

This book offers advice on the statistical analysis of small data sets (which are often used for ethical, financial, or practical reasons) for various designs and levels of measurement, helping researcher…

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Markus Neuhäuser, Graeme D Ruxton
The Statistical Analysis of Small Data Sets

This book offers advice on the statistical analysis of small data sets (which are often used for ethical, financial, or practical reasons) for various designs and levels of measurement, helping researcher…

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Buch

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

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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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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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