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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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Viktor Mayer-Sch Nberger
Big Data

Financial Times Business Book of the Year Finalist ?Illuminating and very timely . . . a fascinating ? and sometimes alarming ? survey of big data's growing effect on just about everything: business, gov…

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Big Data

This book provides a roadmap for effective digital marketing by identifying consumer behavior pattern as well as ensuring better customer experience.

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Body Area Networks. Smart IoT and Big Data for Intelligent Health Management

This book constitutes the refereed post-conference proceedings from the 18th EAI International Conference on Body Area Networks, BODYNETS 2024-A, held in Milan, Italy, in February 5-6, 2024. The 20 full …

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Hiroshi Ishikawa
Hypothesis Generation and Interpretation

This book focuses in detail on data science and data analysis and emphasizes the importance of data engineering and data management in the design of big data applications. The author uses patterns discove…

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Thomas Cleff
Applied Statistics and Multivariate Data Analysis for Business and Economics

This comprehensive textbook equips students of economics and business, as well as industry professionals, with essential principles, techniques, and applications of applied statistics, statistical testing…

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Frank Acito
Predictive Analytics with KNIME

This book is about data analytics, including problem definition, data preparation, and data analysis. A variety of techniques (e.g., regression, logistic regression, cluster analysis, neural nets, decisio…

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Stefan Bracke
Reliability Engineering

This textbook teaches methods of data analytics for technical reliability analyses and risk prognosis on the basis of probabilistics, statistics and modelling. The methods of Reliability Engineering are a…

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Suneeta Mall
Deep Learning at Scale

"Bringing a deep-learning project into production at scale is quite challenging. To successfully scale your project, a foundational understanding of full stack deep learning, including the knowledge that …

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Kyra Groh
Fake Dates and Fireworks

BEI DIESER FAKE-DATING-ROMANCE KNISTERN NICHT NUR DIE WUNDERKERZEN Becca und Nils sind beste Freunde - die jedes Jahr an Silvester miteinander im Bett landen. Zum 10. Jubiläum ihres jährlichen One-Night-…

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Beth Reekles,
Dates und andere Illusionen

Kann man sich verlieben, wenn man immer nur so tut, als ob? Die schon immer alleinstehende Sophie ist auf der Suche nach Liebe. Während ihre Freunde sich niederlassen und ihre Familie ihr Druck macht, end…

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Networking Data Integrity and Manipulation in Cyber-Physical and Communication Systems

This book offers a global perspective on the latest developments in data integrity and manipulation within cyber-physical and communication systems, with a focus on analytics and networking. It examines r…

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Tourism and ICTs: Advances in Data Science, Artificial Intelligence and Sustainability

This open-access book presents the best research papers from the XIV International Congress on Tourism and Information and Communications Technologies (TURITEC2023), held in Málaga, Spain from 19 to 20 Oc…

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Costas A. Varotsos, Yong Xue, Ferdenant A. Mkrtchyan, Vladimir F. Krapivin
Constructive Processing of Microwave and Optical Data for Hydrogeochemical Applications

This book presents results of the combined use of microwave remote sensing, optical tools, and ecoinformatics methods under solution-applied tasks at both regional and global scales. Ecoinformatics method…

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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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Emerging Trends and Applications of Deep Learning for Biomedical Data Analysis

Emerging Trends and Applications of Deep Learning for Biomedical Data Analysis introduces the latest emerging trends and applications of deep learning in biomedical data analysis. The book delves into var…

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Handbook of Artificial Intelligence and Data Sciences for Routing Problems

This handbook delves into the rapidly evolving field of artificial intelligence and optimization, focusing on the intersection of machine learning, combinatorial optimization, and real-world applications …

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Holly Herndon & Mathew Dryhurst. All Media is Training Data

"All Media is Training Data" chronicles the work of the artists, musicians, and AI pioneers Holly Herndon and Mat Dryhurst. Told through chapters that expand their evolving theses on cultural production, …

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Strengthening Child Safety and Well-Being Through Integrated Data Solutions

This book explores the use of integrated administrative data to understand and address the significant public health problem of child maltreatment. It examines the use of linked, or integrated, administra…

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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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