deep learning techniques optimization (29 resultados)

Condición: New.

Softcover. Condición: New. Estado de la sobrecubierta: no dj. First. Portfolio optimization is a critical component of investment management, enabling investors to maximize returns and minimize risk. This book provides a comprehensive examination of deep learning techniques in portfolio optimization, exploring the potential applications of this technology in various industries. By analyzing real-world case studies and industry best practices, readers will gain a deeper understanding of the key drivers of deep learning in portfolio optimization, including machine learning algorithms and data analytics. The book also examines the potential risks and challenges associated with deep learning, including regulatory uncertainty and market volatility. As the demand for advanced portfolio optimization solutions continues to grow, this book offers a timely guide for professionals seeking to navigate the complexities of deep learning. 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.

Condición: good. This is a pre-loved book that shows moderate signs of wear from previous reading. You may notice creases, edge wear, or a cracked spine, but it remains in solid, readable condition.Please note:-May include library or rental stickers, stamps, or markings.-Supplemental materials e.g., CDs, access codes, inserts are not guaranteed.-Box sets may not come with the original outer box. If it does, the box will not be in perfect condition. -Sourced from donation centers; authenticity not verified with publisher. Your satisfaction is our top priority! If you have any questions or concerns about your order, please donât hesitate to reach out. Thank you for shopping with us and supporting small businessâ"happy reading!

Softcover. Condición: New. Estado de la sobrecubierta: no dj. First. Deep Learning Techniques for Image Optimization on the Web explores cutting-edge neural network methodologies aimed at enhancing visual content delivery. This book details how deep learning models can be employed to compress, enhance, and adapt images for faster loading times and superior quality. It highlights the balance between computational efficiency and visual fidelity, offering practical guidance on deploying AI-driven solutions for web image management. The focus remains on elevating user experience through intelligent image processing. 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.

Condición: New.

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Condición: New. SUPER FAST SHIPPING.

Condición: New.

Softcover. Condición: New. Estado de la sobrecubierta: no dj. First. Image optimization is a critical aspect of digital product development, and deep learning techniques are revolutionizing the way we approach image optimization. This book, 'Deep Learning Techniques for Image Optimization', explores the latest techniques and technologies for using deep learning to optimize images. By examining the principles of deep learning, this book provides a comprehensive guide to using deep learning to improve image quality, reduce file size, and enhance user experience. From image compression to image recognition, this book covers the latest techniques and best practices for using deep learning to optimize images, empowering developers to create digital products that are truly optimized for performance and user experience. 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.

Condición: As New. Unread book in perfect condition.

Condición: As New. Unread book in perfect condition.

Condición: New. SUPER FAST SHIPPING.

Condición: New. In English.

Softcover. Condición: New. Estado de la sobrecubierta: no dj. First. Deep learning techniques have emerged as a powerful tool for portfolio optimization, enabling investors to make more informed decisions and achieve better returns. Deep Learning Techniques in Portfolio Optimization provides a comprehensive examination of this complex topic, exploring the latest research, methodologies, and applications of deep learning in portfolio optimization. By analyzing the intricate interplay between deep learning, portfolio optimization, and investor behavior, this book reveals the underlying dynamics of deep learning in portfolio optimization, enabling readers to anticipate and mitigate potential risks. With its unique blend of theoretical foundations and practical applications, this book is an essential resource for anyone seeking to grasp the underlying mechanics of deep learning in portfolio optimization. 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.

Hardback. Condición: New. Illustrated. Many approaches have sprouted from artificial intelligence (AI) and produced major breakthroughs in the computer science and engineering industries. Deep learning is a method that is transforming the world of data and analytics. Optimization of this new approach is still unclear, however, and there's a need for research on the various applications and techniques of deep learning in the field of computing.Deep Learning Techniques and Optimization Strategies in Big Data Analytics is a collection of innovative research on the methods and applications of deep learning strategies in the fields of computer science and information systems. While highlighting topics including data integration, computational modeling, and scheduling systems, this book is ideally designed for engineers, IT specialists, data analysts, data scientists, engineers, researchers, academicians, and students seeking current research on deep learning methods and its application in the digital industry.

Hardback. Condición: New. Illustrated. Many approaches have sprouted from artificial intelligence (AI) and produced major breakthroughs in the computer science and engineering industries. Deep learning is a method that is transforming the world of data and analytics. Optimization of this new approach is still unclear, however, and there's a need for research on the various applications and techniques of deep learning in the field of computing.Deep Learning Techniques and Optimization Strategies in Big Data Analytics is a collection of innovative research on the methods and applications of deep learning strategies in the fields of computer science and information systems. While highlighting topics including data integration, computational modeling, and scheduling systems, this book is ideally designed for engineers, IT specialists, data analysts, data scientists, engineers, researchers, academicians, and students seeking current research on deep learning methods and its application in the digital industry.

Softcover. Condición: New. Estado de la sobrecubierta: no dj. First. 'Deep Learning Techniques in Portfolio Optimization' presents advanced computational methods for enhancing investment strategies. It discusses how neural networks and machine learning algorithms can identify patterns and optimize asset allocation. The book emphasizes the application of deep learning to improve risk-adjusted returns, adapt to market dynamics, and automate decision-making processes. It underscores the significance of artificial intelligence in shaping the future of portfolio management and financial 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. Condición: New. Estado de la sobrecubierta: no dj. First. The confluence of deep learning and quantum optimization techniques is giving rise to a new generation of algorithms capable of tackling some of the most intractable problems in science and engineering. Deep Learning Meets Quantum Optimization Techniques presents a comprehensive overview of the latest research in this rapidly evolving field, from the application of quantum-inspired neural networks to the development of novel quantum optimization algorithms. By exploring the intricate connections between deep learning, quantum computing, and optimization theory, the authors offer a nuanced understanding of the potential of this emerging field to transform our ability to solve complex problems. This book is an essential resource for researchers, engineers, and scientists seeking to stay at the forefront of this exciting new frontier. 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.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - It is very difficult to classify the images, identifying the objects in the image etc. After identifying the objects in the images, classification of the images based on the objects into different categories is the current area that is focused in this book. To classify the objects exactly, it should be deeply analysed. With the existing methods, high classification accuracy is not achieved. this book concentrated on the latest technologies like Swarm Intelligence and Deep learning to achieve high accuracy in classifying the images. To have the exact classification of the images a new method should be identified which is used to identify and classify the images. Deep learning is self learning process as it goes deep by filtering information through multiple hidden layers. Combination of Swarm intelligence and Deep learning is used in classification of images.

Condición: New. Print on Demand.

Condición: New. PRINT ON DEMAND.

PAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents research on the methods and applications of deep learning strategies in the fields of computer science and information systems. The publication highlights topics including data integration, computational modelling, and scheduling systems,.K.

HRD. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

HRD. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 'This book examines the application of artificial intelligence in machine learning, data mining in unstructured data sets or databases, web mining, and information retrieval'.

Gebunden. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. KlappentextrnrnMany approaches have sprouted from artificial intelligence (AI) and produced major breakthroughs in the computer science and engineering industries. Deep learning is a method that is transforming the world of data and analytics. O.

Buch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Many approaches have sprouted from artificial intelligence (AI) and produced major breakthroughs in the computer science and engineering industries. Deep learning is a method that is transforming the world of data and analytics. Optimization of this new approach is still unclear, however, and there's a need for research on the various applications and techniques of deep learning in the field of computing. Deep Learning Techniques and Optimization Strategies in Big Data Analytics is a collection of innovative research on the methods and applications of deep learning strategies in the fields of computer science and information systems. While highlighting topics including data integration, computational modeling, and scheduling systems, this book is ideally designed for engineers, IT specialists, data analysts, data scientists, engineers, researchers, academicians, and students seeking current research on deep learning methods and its application in the digital industry.