Dakota Forest – Bücher, CDs, LPs und mehr, Seite 5

Environmental Policy Science's Exploration for Innovative Data

.- Chapter One, Introduction: Challenges and Opportunities for Mid-Century Social Scientists working on Environmental Policy..- Chapter Two: Tracking Variation in Activity in Unconventional Oil and Gas Su…

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Data Analytics for Smart Robotics and Its Applications

Scalable Blockchain and Robotics Technology for a Patient-Centric Next Generation Medical System.- Face Mask Detection using Multimedia Data and Deep Learning Techniques.- Digital Twin Robots for Securing…

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Data Analytics for Decision Making towards Business Excellence

This edited volume collates discussions on latest challenges, opportunities, trends and practices applicable to two major business sectors -- retail and financial services -- and chapters are segregated a…

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Allon Adir, Ehud Aharoni, Nir Drucker, Ronen Levy
Homomorphic Encryption for Data Science (HE4DS)

This book provides basic knowledge required by an application developer to understand and use the Fully Homomorphic Encryption (FHE) technology for privacy preserving Data-Science applications. The author…

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Feng Qian, Shengli Pan, Gulan Zhang
Tensor Computation for Seismic Data Processing

This book aims to provide a comprehensive understanding of tensor computation and its applications in seismic data analysis, exclusively catering to seasoned researchers, graduate students, and industrial…

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IoT and Big Data Technologies for Health Care

This book constitutes the refereed proceedings of the 4th IoT Technologies for Health Care on IoT and Big Data Technologies for Health Care, IotCare 2023, held in Leicester, UK, during November 17--18, 20…

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Alex Ruiz de Villa
Causal Inference for Data Science

From the Back Cover:Causal Inference for Data Science introduces data-centric techniques and methodologies you can use to estimate causal effects. The book dives into the relationship between causal infer…

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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…

lieferbar ab 12.2.2026.

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Ashis Sengupta, Kunio Shimizu
Probability Distributions for Directional Data on Smooth Manifolds

This book provides a comprehensive and rigorous treatment of real-life scientific problems which encounter non-linear data. The authors first present methods for developing distributions on a circle. Then…

lieferbar ab 21.7.2026.

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Carlos Fernandez-Granda
Probability and Statistics for Data Science

This accessible book for graduate students and data scientists provides a solid background in probabilistic and statistical concepts relevant to data science. Emphasis is placed on practice, with examples…

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Ralf Kneuper
Data Protection for Software Development and IT

This book introduces data protection, i.e. the protection of individuals from misuse of their personal data. It provides a special focus on the direct impact on software development, e.g. in the form of f…

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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…

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Carlos Fernandez-Granda
Probability and Statistics for Data Science

This accessible book for graduate students and data scientists provides a solid background in probabilistic and statistical concepts relevant to data science. Emphasis is placed on practice, with examples…

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Annotation of Real-World Data for Artificial Intelligence Systems

This volume constitutes the refereed proceedings of 9th International Workshop on Annotation of Real-World Data for Artificial Intelligence Systems, ARDUOUS 2025, held in Bologna, Italy, during October 25…

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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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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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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…

lieferbar ab 13.6.2026.

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Raphael Röttinger
Data Analysis and Risk Modelling for Terrorism Prevention:

In the field of terrorism prevention, data analysis plays a critical role in developing predictive models to address the growing complexity of modern terrorist tactics. This book examines the challenges, …

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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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AI and Data Analytics in Precision Agriculture for Sustainable Development

This book offers a comprehensive analysis of artificial intelligence (AI) and data analytics in precision agriculture. The integration of technology in agriculture is revolutionizing traditional farming p…

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