Data Sciences – Bücher, CDs, LPs und mehr, Seite 4

Advances in Data Science and Artificial Intelligence

With the intriguing development of technologies in several industries along with the advent of accrescent and ubiquitous computational resources, it creates an ample number of opportunities to develop inn…

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Big Data Analysis and Artificial Intelligence for Medical Sciences

Overview of the current state of the art on the use of artificial intelligence in medicine and biology Big Data Analysis and Artificial Intelligence for Medical Sciences demonstrates the efforts made in t…

lieferbar innerhalb 1-2 Wochen

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Optimization and Data Science in Industrial Engineering

This two-volume set CCIS 2204 and 2205 constitutes the refereed proceedings of the First International Conference on Optimization and Data Science in Industrial Engineering, ODSIE 2023, held in Istanbul, …

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Data Science and Artificial Intelligence for Digital Healthcare

Signals and Communication Technology

This book explores current research and development in the area of digital healthcare using recent technologies such as data science and artificial intelligence. The authors discuss how data science, AI, …

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Operations Research and Data Science in Public Services

This book provides a collection of contributions by Ph.D. students and early researchers who attended the 6th AIROYoung Workshop, held in Rome (Italy) at Roma Tre University, from 23 February to 25 Februa…

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Optimization and Data Science in Industrial Engineering

This two-volume set CCIS 2204 and 2205 constitutes the refereed proceedings of the First International Conference on Optimization and Data Science in Industrial Engineering, ODSIE 2023, held in Istanbul, …

lieferbar innerhalb 2-3 Wochen

Buch

Prithwis Kumar de, Neha Sharma
Auf dem Weg zu Netto-Null-Zielen

Dieses Buch diskutiert die Verwendung von Technologie, Data Science und Open Data, um das Netto-Null-Emissionsziel des Pariser Abkommens zum Klimawandel zu erreichen. Es gibt viele Diskussionen über Nachh…

sofort lieferbar

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Ramesh Sharda, Dursun Delen, Efraim Turban
Business Intelligence, Analytics, and Data Science: A Managerial Perspective

For courses on Business Intelligence or Decision Support Systems. A managerial approach to understanding business intelligence systems. To help future managers use and understand analytics, Business I…

mind. 2 Monate

Buch

Dursun Delen, Efraim Turban, Ramesh Sharda
Business Intelligence, Analytics, Data Science, and AI, Global Edition

For 1 or 2-semester courses in business intelligence, data science, business analytics and MIS. Analytics and AI for tomorrow's managers Business Intelligence, Analytics, Data Science, and AI helps stude…

lieferbar in mind. 4 Wochen

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Steven E. Rigdon, Jr Ronald D. Fricker, Douglas C. Montgomery
Introduction to Probability and Statistics for Data Science

Introduction to Probability and Statistics for Data Science provides a solid course in the fundamental concepts, methods and theory of statistics for students in statistics, data science, biostatistics, e…

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Axel Bohmann, Julia Müller, Mirka Honkanen, Miriam Neuhausen
Linguistic Data Science and the English Passive

Employs a combination of machine-learning tools to study the choice of English passive auxiliary, BE vs GET, in several large corpora, both diachronically and across varieties.

Erscheint bald

Buch

Next Generation Data Science and Blockchain Technology for Industry 5.0

A groundbreaking view of the industrial models of the future Industry 5.0 is an increasingly widespread term for the coming business paradigm, which will combine humans, robotics, and smart technology to …

lieferbar ab 5.8.2025.

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Advanced Methods in Statistics, Data Science and Related Applications

This book contains a selection of the improved contributions submitted by participants at the conference of the Italian Statistical Society - SIS 2022 held in Caserta 22-24 June 2022. The scientific commu…

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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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Ali Moazzeni Khorasgani
Using Data Science and Landscape Approach to Sustain Historic Cities

This book comprehensively explores sustaining historic cities using a landscape approach and data science. The author offers valuable insights for professionals and enthusiasts interested in preserving an…

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Accelerating Discoveries in Data Science and Artificial Intelligence II

This edited volume on machine learning and big data analytics (Proceedings of ICDSAI 2023), that was held on April 24-25, 2023 by CSUSB USA, International Association of Academicians (IAASSE), and Lendi I…

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Jeffrey A. Fessler, Raj Rao Nadakuditi
Linear Algebra for Data Science, Machine Learning, and Signal Processing

"Master basic matrix methods by seeing how the math is used in practice in a range of data-driven applications. Includes a wealth of engaging exercises for quizzes, self-study and interactive learning, as…

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GIS, Applied Computing and Data Science for Water Management

This book contains a selection of the best articles presented at the 4th International Conference GIRE3D - Participatory and Integrated Management of Water Resources in Arid Zones, November 23th-25th , He…

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Dayne Sorvisto
Exam Ref Dp-100 Designing and Implementing a Data Science Solution on Azure

Prepare for Microsoft Exam DP-100 and demonstrate your real-world knowledge of managing data ingestion and preparation, model training and deployment, and machine learning solution monitoring with Python,…

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National Academies of Sciences Engineering and Medicine, Division of Behavioral and Social Sciences and Education, Committee On National Statistics, Panel on Approaches to Sharing Blended Data in a 21st Century Data Infrastructure
Toward a 21st Century National Data Infrastructure: Managing Privacy and Confidentiality Risks with Blended Data

Protecting privacy and ensuring confidentiality in data is a critical component of modernizing our national data infrastructure. The use of blended data - combining previously collected data sources - pre…

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