Dakota Forest – Bücher, CDs, LPs und mehr, Seite 7

Recent Developments in Model-Based and Data-Driven Methods for Advanced Control and Diagnosis

The book consists of recent works on several axes either with a more theoretical nature or with a focus on applications, which will span a variety of up-to-date topics in the field of systems and control.…

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Multimodal and Tensor Data Analytics for Industrial Systems Improvement

This volume covers the latest methodologies for using multimodal data fusion and analytics across several applications. The curated content presents recent developments and challenges in multimodal data a…

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Once Upon A Time In Hollywood

Am 15. August kommt der neue Film von Quentin Tarantino in die deutschen Kinos - »Once Upon A Time... In Hollywood« entführt den Zuschauer ins Hollywood des Jahres 1969, eine Zeit radikaler und grundlegen…

lieferbar innerhalb von 3 Tagen

2 LPs

Age K. Smilde, Federico Marini, Johan A. Westerhuis, Kristian Hovde Liland
Analysis of Variance for High-Dimensional Data

Overview of methods for analyzing high-dimensional experimental data, including theory, methodologies, and applications Analysis of Variance for High-Dimensional Data summarizes all the methods to analyze…

lieferbar ab 14.8.2025.

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Ryan Day
Hands-On APIs for AI and Data Science

Are you ready to grow your skills in AI and data science? A great place to start is learning to build and use APIs in real-world data and AI projects. API skills have become essential for AI and data scie…

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Quentin Tarantino's Once Upon A Time In Hollywood (180g) (Limited Edition) (Translucent Orange Vinyl)

Am 15. August kommt der neue Film von Quentin Tarantino in die deutschen Kinos - »Once Upon A Time... In Hollywood« entführt den Zuschauer ins Hollywood des Jahres 1969, eine Zeit radikaler und grundlegen…

Artikel am Lager

2 LPs

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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Data Science, Classification, and Artificial Intelligence for Modeling Decision Making

This book gathers selected and peer-reviewed contributions presented at the 18th Conference of the International Federation of Classification Societies (IFCS 2024), held in San José, Costa Rica, July 15–1…

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Le Xie, Ram Rajagopal, Yang Weng
Data Science and Applications for Modern Power Systems

This book offers a comprehensive collection of research articles that utilize datäin particular large data sets in modern power systems operation and planning. As the power industry moves towards actively…

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Ma Nang Laik, Michelle L. F. Cheong
Data and Decision Analytics for Business Operations

In this book, readers will be exposed to the Data and Decision Analytics Framework which helps a business analyst to first identify the root cause of business problems by collecting, preparing, and explor…

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Advances in Data Analytics for Influencer Marketing: An Interdisciplinary Approach

In the ever-evolving landscape of digital marketing, influencer marketing has emerged as a game-changer, captivating audiences and driving brand engagement like never before. However, success in this dyna…

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Shirui Wang, Jiefu Chen, Xuqing Wu, Wenyi Hu
Deep Learning for Seismic Data Enhancement and Representation

Seismic imaging is a key component of subsurface exploration, and it depends on a high-quality seismic data acquisition system with effective seismic processing algorithms. Seismic data quality concerns v…

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Tsutomu Sasao
Classification Functions for Machine Learning and Data Mining

This book introduces a novel perspective on machine learning, offering distinct advantages over neural network-based techniques. This approach boasts a reduced hardware requirement, lower power consumptio…

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Nature-Inspired Methods for Smart Healthcare Systems and Medical Data

This book aims to gather high-quality research papers on developing theories, frameworks, architectures, and algorithms for solving complex challenges in smart healthcare applications for real industry us…

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Signal Processing Driven Machine Learning Techniques for Cardiovascular Data Processing

Signal Processing Driven Machine Learning Techniques for Cardiovascular Data Processing features recent advances in machine learning coupled with new signal processing-based methods for cardiovascular dat…

lieferbar in mind. 4 Wochen

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National Academies of Sciences Engineering and Medicine, Division on Engineering and Physical Sciences, National Materials and Manufacturing Board, Board on Mathematical Sciences and Analytics
Statistical and Data-Driven Methods for Additive Manufacturing Qualification

Additive manufacturing (AM), the process in which a three-dimensional (3D) object is built by adding subsequent layers of materials, enables novel material compositions and shapes, often without the need …

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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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Andrei P. Kirilenko
Practical Data Mining with AI for Social Scientists

This book is designed as a foundational textbook for upper-level undergraduate and graduate students from non-technical fields who want to acquire a basic understanding of data science and learn practical…

lieferbar ab 10.6.2025.

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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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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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