Exploring Quantum Inspired Algorithms Big Data by Continental Academy Press (1 results)

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.