Big Data Algorithms Analytics (167 results)

Condition: 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.

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

Soft cover. Condition: 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.

Condition: New. pp. 308.

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

Condition: Brand New. New.SoftCover International edition. Different ISBN and Cover image but contents are same as US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.

Condition: New.

Condition: New.

Condition: New.

Hardcover. Condition: New.

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

Condition: New.

Condition: New. 1st ed. 2022 edition NO-PA16APR2015-KAP.

Condition: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher.

Softcover. Condition: 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.

Softcover. Condition: New. Dust Jacket Condition: 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. Condition: New. Dust Jacket Condition: 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. Condition: New. Dust Jacket Condition: no dj. First. Quantum-Inspired Algorithms for Big Data Analytics presents computational techniques inspired by quantum principles to process vast datasets efficiently. This book explores how classical algorithms can emulate quantum behaviors to solve complex problems faster and more effectively. It covers applications in pattern recognition, data mining, and optimization, illustrating their relevance in handling big data challenges. The narrative emphasizes the potential of quantum-inspired methods to revolutionize data analysis across various industries. 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. Condition: New. Dust Jacket Condition: 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. Condition: New. Dust Jacket Condition: 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. Condition: New. Dust Jacket Condition: 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. Condition: New. Dust Jacket Condition: 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. Condition: New. Dust Jacket Condition: no dj. First. Quantum-Inspired Algorithms for Big Data Analytics and Pattern Recognition is a seminal work that explores the rapidly evolving field of quantum-inspired algorithms, where quantum mechanics is used to develop novel computational methods and algorithms for big data analytics and pattern recognition. By harnessing the power of quantum mechanics, researchers can develop novel algorithms that can be applied to a wide range of problems, leading to breakthroughs in fields such as machine learning, data science, and artificial intelligence. This book provides an in-depth examination of the theoretical foundations, experimental implementations, and practical applications of quantum-inspired algorithms, highlighting the potential to revolutionize our understanding of big data analytics and pattern recognition. From the development of quantum-inspired machine learning algorithms to the deployment of quantum-inspired pattern recognition techniques, Quantum-Inspired Algorithms for Big Data Analytics and Pattern Recognition presents a comprehensive overview of the latest advancements in this 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. Condition: New. Dust Jacket Condition: 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. Condition: New. Dust Jacket Condition: no dj. First. Quantum Algorithms for Big Data Analytics explores the potential of quantum algorithms to accelerate the development of big data analytics technologies. By leveraging the principles of quantum mechanics, researchers can design and implement quantum algorithms for various applications, from machine learning and data mining to natural language processing and computer vision. This book provides a comprehensive overview of the current state of the field, from the theoretical foundations of quantum algorithms to the latest experimental results. With its cutting-edge research and expert analysis, Quantum Algorithms for Big Data Analytics is a must-read for researchers, engineers, and developers working in 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. Condition: New. Dust Jacket Condition: 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. Condition: New. Dust Jacket Condition: no dj. First. 'Developing Smarter Training Algorithms Through Big Data Analytics' focuses on harnessing large-scale data to refine athletic training methodologies. It explores how advanced analytics can identify patterns, predict performance trends, and personalize training programs. The book emphasizes the transformative potential of data-driven decision-making in sports science, leading to more effective and efficient training regimens. It serves as a guide for integrating technological innovations into athletic development. 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. Condition: New. Dust Jacket Condition: 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. Condition: New. Dust Jacket Condition: 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.