big data algorithms analytics (173 Ergebnisse)

Zustand: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.

Soft cover. Zustand: New. ISBN:9781032973777,Territorial restriction maybe printed on the book. This is an Int'l edition, ISBN and cover may differ from US edition, Contents same as US edition.

XXVI, 412 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch.

Zustand: New. pp. 308.

Paperback. Zustand: Brand New. 211 pages. 8.00x5.00x0.48 inches. In Stock.

Zustand: New. pp. XXVI, 412 174 illus., 108 illus. in color. 1 Edition NO-PA16APR2015-KAP.

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Zustand: New. Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide.

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Hardcover. Zustand: New.

Hardcover. Zustand: gebraucht; sehr gut. minimale Spuren, praktisch ungebraucht, Auflage 2015, Hardcover.

Softcover. Zustand: Bon. Edition 2023. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Good. Edition 2023. Ammareal gives back up to 15% of this item's net price to charity organizations.

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Softcover. Zustand: New. Zustand des Schutzumschlags: no dj. First. Quantum-Inspired Classical Algorithms for Big Data Analytics explores how principles derived from quantum computing can be adapted into classical algorithms to improve data processing efficiency. It discusses innovative approaches that leverage quantum concepts to tackle large-scale data analysis challenges more effectively. 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 exponential growth of big data has given rise to a pressing need for efficient algorithms that can analyze and process vast amounts of data. Quantum-inspired algorithms have emerged as a promising solution, leveraging the principles of quantum mechanics to develop novel optimization techniques. This book provides a thorough exposition of quantum-inspired algorithms, examining their application to big data analytics. By exploring the theoretical foundations and practical implementations of quantum-inspired algorithms, readers gain a nuanced understanding of their potential to revolutionize big data analytics. From the basics of quantum computing to the latest advancements in quantum-inspired algorithm research, this book offers a comprehensive treatment of the subject. 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. Developing Smarter Training Algorithms Through Big Data Analytics is a cutting-edge examination of the complex relationships between big data, machine learning, and athletic performance. By applying the principles of data analytics to the development of training algorithms, this book provides a comprehensive understanding of the intricate relationships between data, performance, and optimization. With a focus on evidence-based insights, this book offers a roadmap for coaches and athletes seeking to develop more effective training strategies and unlock peak performance. 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. Big data analytics is a critical tool in modern business, but the environmental impact of big data processing is not always well understood. Crafting Eco-Friendly Algorithms for Big Data Analytics presents a range of innovative approaches to creating eco-friendly algorithms for big data analytics, from the use of green computing to the development of energy-efficient data processing systems. By exploring the ways in which big data processing can be made more sustainable, this book reveals the potential for significant reductions in energy consumption and greenhouse gas emissions. With a focus on the practical applications of eco-friendly big data analytics, this work provides a valuable resource for data scientists, analysts, and policymakers seeking to create a more sustainable future. 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 world, the importance of accurate and unbiased analysis cannot be overstated. Mindful Algorithms for Reducing Bias in Big Data Analytics provides a nuanced exploration of the complex relationships between data, algorithms, and societal outcomes. By examining the ways in which algorithms can perpetuate and exacerbate existing biases, this book offers a critical framework for developing more equitable and transparent data analytics practices. From the intricacies of machine learning to the implications of data-driven decision-making, Mindful Algorithms for Reducing Bias in Big Data Analytics is a must-read for data scientists, analysts, and anyone seeking to harness the power of data while minimizing its potential for harm. 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. As the demand for more efficient and effective big data analytics continues to grow, researchers are turning to quantum-inspired classical algorithms as a potential solution. This book explores the latest advances in the development of these algorithms, examining their unique properties and potential applications in big data analytics. By exploring the theoretical foundations of quantum-inspired algorithms, the author reveals the exciting possibilities that lie ahead, from the development of novel quantum-based analytics tools to the creation of ultra-efficient data processing systems. With its unique blend of technical detail and speculative vision, this book is a must-read for anyone interested in the future of big data analytics. 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. Quantum-Inspired Algorithms for Big Data Analytics and Pattern Recognition presents innovative computational techniques inspired by quantum principles to enhance data processing capabilities. This work demonstrates how quantum algorithms can be adapted to classical systems, offering improved efficiency in analyzing vast datasets and identifying intricate patterns. It emphasizes applications across sectors such as finance, healthcare, and cybersecurity, where rapid data interpretation is crucial. The book highlights the potential of quantum-inspired methods to revolutionize traditional data analytics and pattern recognition workflows. 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 increasing use of big data analytics has raised important questions about the presence of bias in data-driven decision-making. Mindful Algorithms for Reducing Bias in Big Data Analytics presents a comprehensive exploration of the latest advances in bias-reducing algorithms for big data analytics, from the development of novel algorithms to the creation of fair and transparent decision-making systems. By examining the complex interplay between bias, data, and decision-making, this book offers a nuanced understanding of the challenges and opportunities associated with bias-reducing algorithms. From the development of novel bias-reducing algorithms to the creation of fair and transparent decision-making systems, this book showcases a wide range of innovative solutions that can be used to ensure the safe and responsible use of big data analytics. By harnessing the power of mindful algorithms, Mindful Algorithms for Reducing Bias in Big Data Analytics offers a compelling vision for a more sustainable and responsible data-driven future. 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. Quantum-inspired algorithms are a new class of algorithms that leverage quantum mechanics to solve complex problems more efficiently. Exploring Quantum-Inspired Algorithms for Big Data Analytics provides a comprehensive guide to designing and implementing quantum-inspired algorithms, including the use of quantum-inspired machine learning and optimization techniques. This book covers the principles of quantum-inspired algorithms, including how to design and implement efficient algorithms, manage data, and ensure scalability. It also explores the use of popular big data analytics tools, such as Hadoop and Spark, and provides practical examples of how to integrate them into your big data analytics projects. With its focus on efficiency and scalability, this book is ideal for data scientists, analysts, and researchers working with large datasets. 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 exponential growth of big data has created a pressing need for efficient and scalable algorithms that can extract meaningful insights from vast amounts of information. Quantum-Inspired Classical Algorithms for Big Data Analytics presents a novel approach to addressing this challenge by harnessing the power of quantum mechanics to inform the development of classical algorithms. By leveraging the principles of quantum computing, the author has designed a suite of algorithms that can efficiently process and analyze large datasets, revealing patterns and relationships that may have gone undetected using traditional methods. This book provides a comprehensive overview of the theoretical foundations and practical applications of these algorithms, demonstrating their potential to revolutionize the field of big data analytics. 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 increasing volume and complexity of big data has given rise to a new generation of quantum algorithms that can process and analyze large datasets with unprecedented speed and accuracy. The Quantum Algorithms in Big Data Analytics book explores the latest advancements in quantum computing, machine learning, and data analytics that are being used to develop quantum algorithms for big data applications. From quantum machine learning to quantum data compression, this comprehensive guide covers the theoretical foundations and practical applications of quantum algorithms in big data analytics. With its in-depth analysis of the potential and limitations of quantum algorithms, this book is an essential resource for data scientists, researchers, and scientists seeking to push the boundaries of big data analytics. 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 era of exponential data growth, 'Developing Energy-Efficient Algorithms for Big Data Analytics' presents a timely solution to the pressing issue of energy consumption in big data processing. By exploring the intricate relationships between algorithmic design, energy efficiency, and data analytics, this book offers a comprehensive framework for developing sustainable big data solutions. Through a combination of theoretical foundations and practical case studies, this book provides a unique perspective on the intersection of energy efficiency, algorithm design, and big data analytics, empowering data scientists and engineers to create more environmentally conscious and resource-efficient big data systems. 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. Efficient Algorithms for Big Data Analytics is a cutting-edge guide to the algorithms and techniques that underpin big data analytics. This authoritative text explores the fundamental concepts and principles of big data analytics, from the basic data structures and algorithms to the more advanced techniques and applications. By providing a clear and concise introduction to the field, the book makes it an ideal resource for students and practitioners seeking to master the art of big data analytics. With its in-depth coverage of the key concepts and techniques, the book provides a solid foundation for further study and research in this exciting and rapidly evolving field. 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. Quantum algorithms for big data analytics represent a new frontier in data processing, where the principles of quantum mechanics are being applied to create more efficient and powerful data analysis techniques. This book provides a comprehensive overview of the field, exploring the theoretical foundations and practical applications of quantum algorithms for big data analytics. By examining the properties of quantum systems and the behavior of data at the quantum level, researchers can gain a deeper understanding of the potential benefits and challenges of quantum algorithms. The book also discusses the potential applications of quantum algorithms in fields such as data mining, machine learning, and decision-making. 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.