statistical modeling machine learning (180 Ergebnisse)

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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - In the early 1990s, the establishment of the Internet brought forth a revolutionary viewpoint of information storage, distribution, and processing: the World Wide Web is becoming an enormous and expanding distributed digital library. Along with the development of the Web, image indexing and retrieval have grown into research areas sharing a vision of intelligent agents. Far beyond Web searching, image indexing and retrieval can potentially be applied to many other areas, including biomedicine, space science, biometric identification, digital libraries, the military, education, commerce, culture and entertainment. Machine Learning and Statistical Modeling Approaches to Image Retrieval describes several approaches of integrating machine learning and statistical modeling into an image retrieval and indexing system that demonstrates promising results. The topics of this book reflect authors' experiences of machine learning and statistical modeling based image indexing and retrieval. This book contains detailed references for further reading and research in this field as well.

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Softcover. Zustand: New. Zustand des Schutzumschlags: no dj. First. In today's data-driven world, statistical modeling and machine learning are increasingly intertwined. This book provides a comprehensive introduction to the principles and applications of statistical modeling with machine learning, covering topics from data preprocessing to model evaluation. With its focus on practical applications and real-world examples, readers will gain a deeper understanding of how to harness the power of machine learning to drive better decision-making and improve business outcomes. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Zustand: New. Zustand des Schutzumschlags: no dj. First. Statistical modeling, once the exclusive domain of mathematically inclined professionals, is now within reach for anyone with a basic understanding of probability and statistics. Statistical Modeling for Machine Learning offers a comprehensive introduction to the fundamental concepts, techniques, and applications of statistical modeling, making it an ideal resource for students, researchers, and practitioners alike. By exploring the intricacies of statistical inference, machine learning, and data visualization, this book provides a clear and concise roadmap for navigating the world of statistical modeling. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This volume presents a selection of articles on statistical modeling and simulation, with a focus on different aspects of statistical estimation and testing problems, the design of experiments, reliability and queueing theory, inventory analysis, and the interplay between statistical inference, machine learning methods and related applications. The refereed contributions originate from the 10th International Workshop on Simulation and Statistics, SimStat 2019, which was held in Salzburg, Austria, September 2-6, 2019, and were either presented at the conference or developed afterwards, relating closely to the topics of the workshop. The book is intended for statisticians and Ph.D. students who seek current developments and applications in the field.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book develops a new system of modeling and simulations based on intelligence system. As we are directly moving from Third Industrial Revolution (IR3.0) to Fourth Industrial Revolution (IR4.0), there are many emergence techniques and algorithm that appear in many sciences and engineering branches. Nowadays, most industries are using IR4.0 in their product development as well as to refine their products. These include simulation on oil rig drilling, big data analytics on consumer analytics, fastest algorithm for large-scale numerical simulations and many more. These will save millions of dollar in the operating costs. Without any doubt, mathematics, statistics and computing are well blended to form an intelligent system for simulation and modeling. Motivated by this rapid development, in this book, a total of 41 chapters are contributed by the respective experts. The main scope of the book is to develop a new system of modeling and simulations based on machine learning, neural networks, efficient numerical algorithm and statistical methods. This book is highly suitable for postgraduate students, researchers as well as scientists that have interest in intelligent numerical modeling and simulations.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book develops a new system of modeling and simulations based on intelligence system. As we are directly moving from Third Industrial Revolution (IR3.0) to Fourth Industrial Revolution (IR4.0), there are many emergence techniques and algorithm that appear in many sciences and engineering branches. Nowadays, most industries are using IR4.0 in their product development as well as to refine their products. These include simulation on oil rig drilling, big data analytics on consumer analytics, fastest algorithm for large-scale numerical simulations and many more. These will save millions of dollar in the operating costs. Without any doubt, mathematics, statistics and computing are well blended to form an intelligent system for simulation and modeling. Motivated by this rapid development, in this book, a total of 41 chapters are contributed by the respective experts. The main scope of the book is to develop a new system of modeling and simulations based on machine learning, neural networks, efficient numerical algorithm and statistical methods. This book is highly suitable for postgraduate students, researchers as well as scientists that have interest in intelligent numerical modeling and simulations.

Softcover. Zustand: New. Zustand des Schutzumschlags: no dj. First. The analysis of environmental data using machine learning techniques has become increasingly important in recent years. In 'Statistical Modeling of Environmental Data with Machine Learning', the latest advances in this field are examined in detail. The book explores the unique challenges and opportunities presented by the use of machine learning in environmental data analysis, and provides a comprehensive overview of the latest techniques and technologies. From the design and implementation of machine learning models to the evaluation and validation of these systems, this guide provides a thorough understanding of the current state of the art. With a focus on the intersection of statistics and machine learning, readers will gain a deeper appreciation for the complex challenges and opportunities presented by the development of advanced statistical models. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Zustand: New. Zustand des Schutzumschlags: no dj. First. The Science of Statistical Modeling and Machine Learning is a comprehensive exploration of the complex relationships between data, statistical models, and machine learning algorithms. From the linear regression of numerical data to the neural networks of complex systems, this book examines the fascinating mechanisms by which data is analyzed, modeled, and predicted. By exploring the latest research in statistical modeling and machine learning, The Science of Statistical Modeling and Machine Learning reveals the intricate relationships between data, its context, and the insights that can be gained from its analysis. By examining the molecular and cellular mechanisms that govern statistical modeling and machine learning, this book provides a nuanced understanding of the complex issues surrounding data analysis and prediction. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Zustand: New. Zustand des Schutzumschlags: no dj. First. In the field of environmental science and sustainability, accurate and efficient data analysis is critical for driving discoveries and innovations. Statistical Modeling for Environmental Science and Sustainability with Machine Learning and AI provides a comprehensive guide to applying statistical modeling techniques, including regression analysis, hypothesis testing, and survival analysis, to analyze and interpret complex data sets. This book explores the application of machine learning and artificial intelligence techniques to identify patterns, predict outcomes, and optimize research designs. With a focus on practical implementation and real-world examples, Statistical Modeling for Environmental Science and Sustainability with Machine Learning and AI equips readers with the skills to develop data-driven insights that drive business growth and innovation. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Zustand: New. Zustand des Schutzumschlags: no dj. First. The world of finance is rapidly evolving, and machine learning is at the forefront of this revolution. In 'Statistical Modeling for Finance with Machine Learning', you'll explore the latest strategies and techniques for leveraging machine learning to drive business growth and customer engagement. From predictive analytics to risk management, this comprehensive guide provides a deep dive into the machine learning-powered tools and technologies that are transforming finance. By the end of this journey, you'll be equipped with the knowledge and skills to harness the power of machine learning and drive business success in the financial sector. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Zustand: New. Zustand des Schutzumschlags: no dj. First. Statistical Modeling in Machine Learning is a comprehensive guide that explores the fundamental principles of statistical modeling in the context of machine learning. This book provides a detailed examination of the various statistical techniques used in machine learning, including regression, classification, clustering, and dimensionality reduction. By understanding these techniques, readers can develop robust and accurate machine learning models that can tackle complex problems in fields such as image recognition, natural language processing, and predictive analytics. With its focus on theoretical foundations and practical applications, Statistical Modeling in Machine Learning is an essential resource for data scientists, machine learning engineers, and researchers looking to advance their skills in statistical modeling. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Zustand: New. Zustand des Schutzumschlags: no dj. First. Sports Performance Analysis with Statistical Modeling and Machine Learning with AI is a comprehensive guide to the use of artificial intelligence in the analysis and improvement of sports performance. By applying the principles of AI to the analysis of sports data, readers will gain a deeper understanding of the key factors that contribute to sports performance, including player behavior, environmental factors, and equipment design. This book examines the ways in which AI can be used to predict and prevent sports injuries, including the use of machine learning algorithms and predictive modeling. With its unique blend of theoretical foundations and practical applications, Sports Performance Analysis with Statistical Modeling and Machine Learning with AI is an essential resource for anyone involved in sports science, injury prevention, or sports coaching. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Zustand: New. Zustand des Schutzumschlags: no dj. First. In today's data-driven business landscape, statistical modeling is more crucial than ever. 'Statistical Modeling for Business Growth with Machine Learning and AI' is a cutting-edge guide that reveals the secrets of statistical modeling and its applications in business growth. By mastering the art of statistical modeling and leveraging machine learning and AI, you'll learn how to make data-driven decisions, predict business outcomes, and drive growth. With a focus on real-world examples and practical insights, this book provides a comprehensive roadmap for business success. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Zustand: New. Zustand des Schutzumschlags: no dj. First. Statistical Modeling for Business Growth with Machine Learning offers a comprehensive guide to leveraging the power of machine learning to drive business growth. This book provides a framework for entrepreneurs and business leaders to develop a data-driven approach to decision-making, including strategies for collecting and analyzing data, building predictive models, and driving business outcomes. By leveraging expert insights and practical examples, readers will gain a deeper understanding of the key drivers of business success and develop the skills needed to drive growth and innovation. With a focus on cost-effective solutions and measurable ROI, this book equips business leaders with the tools needed to build a strong and agile organization. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.