Data-drivendecisionmaking – Bücher, CDs, LPs und mehr, Seite 7

Benjamin E. Schlegel
Data Science for the Social Sciences

Springer Texts in Political Science and International Relations

This textbook offers a step-by-step introduction to the fundamentals of data analysis. It begins with descriptive analyses, moves on to linear regression, and then covers more advanced and sophisticated s…

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Computational Intelligence in Data Science

IFIP Advances in Information and Communication Technology - Band 748

The three-volume set IFIP ICCIDS 748, 749 and 750 constitutes the refereed post-conference proceedings of the 8th IFIP TC 12 International Conference on Computational Intelligence in Data Science, ICCIDS …

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Nobuhiro Taneichi, Yuri Sekiya
Improving Tests for Discrete Small Sample Data

SpringerBriefs in Statistics

This book provides a guide for improving test statistics that are based on phi-divergence for discrete models, which include various kinds of independence models of contingency tables as well as generaliz…

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Computational Intelligence in Data Science

IFIP Advances in Information and Communication Technology - Band 749

The three-volume set IFIP ICCIDS 748, 749 and 750 constitutes the refereed post-conference proceedings of the 8th IFIP TC 12 International Conference on Computational Intelligence in Data Science, ICCIDS …

lieferbar innerhalb 2-3 Wochen

Buch

Kamila Miller
Data-Driven Marketing Strategy

The comprehensive undergraduate guide to designing creative, data-driven marketing strategies. Data-Driven Marketing Strategy gives upper-level undergraduate students a comprehensive framework for turning…

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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

Springer Undergraduate Texts in Mathematics and Technology

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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Handbook of Dynamic Data Driven Applications Systems

This handbook is an authoritative reference on the Dynamic Data Driven Applications Systems paradigm, pioneered by Dr. Darema, and contains DDDAS-based work conducted by contributing co-authors in numerou…

lieferbar ab 24.7.2026.

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AI and Data Science in Healthcare 5.0

Medical Robots and Devices: New Developments and Advances

AI and Data Science in Healthcare 5.0 delves into the innovative developments in Healthcare 5.0, focusing on smart medical robots, devices, and connected hospitals. It explores the role of robotics in mod…

lieferbar in mind. 4 Wochen

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Environmental Policy Science's Exploration for Innovative Data

Natural Resource Management and Policy - NA

This edited volume discusses the use of nontraditional data sources in environmental political research and its implications for policymaking. Researchers involved in natural resource investigations and p…

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Luiz André Barroso, Urs Hölzle, Parthasarathy Ranganathan
The Data Center as a Computer

Synthesis Lectures on Computer Architecture

Warehouse-scale computers (WSCs) power cloud computing and all the great web services we use daily, including recent advancements in Artificial Intelligence/Machine Learning (AI/ML). This book examines ho…

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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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Challenges and Algorithms for Knowledge Discovery from Data

Lecture Notes in Computer Science - Band 16067

Arno Siebes graduated in Mathematics from Utrecht University in 1983. He joined CWI in Amsterdam in 1985, and obtained his Ph.D. in 1990 from Twente University. In 2000, he joined Utrecht University, wher…

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Eric Freeman, Elisabeth Robson
Head First Algorithms and Data Structures

What will you learn from this book?Successful software engineers all have this in common: They're fluent in the language of algorithms and data structures. Head First Algorithms and Data Structures is you…

lieferbar ab 30.9.2026.

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

The LNCS journal Transactions on Large-scale Data and Knowledge-centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer scienc…

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Mattei Matteo
Data-Driven Cybersecurity

Measure, improve, and communicate the value of your security program.Every business decision should be driven by data---and cyber security is no exception. In Data-Driven Cybersecurity , you'll master the…

lieferbar in mind. 4 Wochen

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Quantum-Inspired Approaches for Intelligent Data Processing

Stay ahead of the technological curve with this comprehensive, practical guide that showcases how the fusion of quantum principles and soft computing is delivering transformative solutions across finance,…

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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, Dat…

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Data Science in Engineering Vol. 10

Conference Proceedings of the Society for Experimental Mechanics Series

Data Science in Engineering, Volume 10: Proceedings of the 42nd IMAC, A Conference and Exposition on Structural Dynamics, 2024, the tenth volume of ten from the Conference brings together contributions to…

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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…

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