Machine Learning Optimization Models (72 results)

Condition: 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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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.

paperback. Condition: Fine.

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

Softcover. Condition: New. Dust Jacket Condition: no dj. First. Machine learning models offer a powerful tool for optimizing investment portfolios, enabling the creation of sophisticated algorithms that can accurately predict market trends and identify opportunities for growth. 'Portfolio Optimization Using Machine Learning Models' explores the application of machine learning techniques to portfolio optimization, discussing the benefits and limitations of this approach. By examining the various machine learning models and techniques available, readers will gain a deeper understanding of the strategies and techniques necessary for creating a highly optimized investment portfolio. 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. Portfolio Optimization Using Machine Learning Models explores how advanced algorithms can enhance investment decision-making. This book discusses the application of machine learning techniques to analyze vast data sets, identify patterns, and optimize asset allocation. It underscores the potential for increased accuracy and efficiency in constructing resilient portfolios. The narrative highlights the intersection of artificial intelligence and finance, illustrating how these innovations can lead to superior investment 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. Condition: New. Dust Jacket Condition: no dj. First. Machine Learning Models for Nutritional Optimization explores the application of advanced algorithms to personalize and improve dietary plans. This work discusses how data-driven models analyze individual health metrics, dietary habits, and nutritional needs to recommend optimal food choices. It emphasizes the potential for technology to transform nutritional science and promote healthier lifestyles. The book covers various machine learning techniques, their implementation, and the implications for future dietary management. 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. 'Machine Learning Models in Portfolio Optimization' examines the application of machine learning techniques to enhance investment portfolio performance. It discusses various algorithms and models that enable more accurate asset allocation, risk assessment, and predictive analytics. The book emphasizes the transformative impact of machine learning on traditional investment strategies, providing insights into data-driven decision-making processes. It aims to equip finance professionals with the knowledge to implement advanced models that optimize returns while managing risks 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. Code Optimization for Machine Learning Models with PyTorch is a comprehensive guide that explores the exciting possibilities of code optimization for machine learning models. This book provides a thorough introduction to the principles and practices of code optimization, covering topics such as model pruning, knowledge distillation, and quantization. With the increasing importance of code optimization in machine learning, readers can create innovative solutions that improve the performance and efficiency of their models. By leveraging the power of PyTorch, readers can optimize their machine learning models and achieve state-of-the-art results. From image classification to natural language processing, this book covers a wide range of applications for code optimization. With its clear explanations and practical examples, Code Optimization for Machine Learning Models with PyTorch is an essential resource for anyone looking to create innovative machine learning solutions. By combining the principles of code optimization with the power of PyTorch, readers can create innovative solutions that improve the performance and efficiency of their 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. Condition: New. Dust Jacket Condition: no dj. First. Matchmaking is a critical component of many online multiplayer games, but designing effective matchmaking systems can be a complex and challenging task. Machine Learning Models for Matchmaking Optimization presents a comprehensive examination of the role of machine learning in matchmaking optimization, from player profiling and team formation to game mode selection and opponent matching. By exploring the latest advancements in machine learning and their implications for matchmaking, this book provides a guide to designing and implementing machine learning models that optimize matchmaking and promote fair and enjoyable gameplay experiences. From the development of new machine learning algorithms to the implementation of data-driven matchmaking systems, the book covers a range of applications and use cases, highlighting the opportunities and challenges associated with harnessing the power of machine learning in matchmaking 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.

Softcover. Condition: New. Dust Jacket Condition: no dj. First. In the world of machine learning, code optimization is critical for achieving high-performance models. 'Code Optimization for Machine Learning Models with Keras' provides a comprehensive guide to optimizing Keras code for faster training times, improved accuracy, and reduced computational costs. By applying expert techniques and strategies, this book shows how to streamline model development, reduce memory usage, and improve model interpretability. Whether you're a machine learning practitioner or a data scientist, this book provides the knowledge and tools necessary to optimize your Keras code and unlock the full potential of your machine learning 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. Condition: New. Dust Jacket Condition: no dj. First. In this comprehensive treatise, the intricacies of machine learning models are expertly applied to optimize traffic signal management, yielding substantial reductions in congestion and travel times. By leveraging cutting-edge algorithms and data-driven insights, cities can create more efficient and responsive transportation systems, thereby enhancing the overall quality of life for their citizens. The book explores the theoretical underpinnings of machine learning, its practical applications, and the transformative potential of data-driven decision-making in urban planning. With a focus on real-world case studies and empirical evidence, this authoritative volume provides a nuanced understanding of the complex relationships between machine learning, traffic signal optimization, and urban infrastructure. 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. Machine Learning Models for Personalized Sleep Optimization Plans explores how advanced algorithms can tailor sleep interventions to individual needs. This book discusses the development and application of machine learning techniques to analyze sleep data, predict patterns, and recommend customized solutions. It emphasizes the potential of AI-driven approaches to enhance sleep quality and address specific sleep disturbances through personalized strategies. 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. Machine learning has revolutionized the manufacturing landscape, enabling companies to optimize their processes like never before. 'Machine Learning Models for Process Optimization' provides a detailed exploration of the latest machine learning techniques and their applications in process optimization. This book examines the role of predictive analytics, clustering, and decision trees in identifying areas of improvement and streamlining production workflows. By leveraging machine learning models, manufacturers can reduce waste, enhance quality, and increase efficiency, ultimately driving business growth and competitiveness. 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. Machine Learning Models for Small-Scale Water Resource Optimization discusses the application of machine learning techniques to manage limited water supplies efficiently. The book highlights predictive models that can forecast demand, detect leaks, and optimize distribution. It emphasizes the importance of intelligent analytics in ensuring sustainable water use in small communities and agricultural settings. This resource showcases how machine learning can contribute to resilient water management 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. 'Machine Learning Models Improving Traffic Signal Optimization' investigates the application of advanced algorithms to enhance traffic flow and reduce congestion. This work presents a comprehensive overview of machine learning techniques tailored for real-time traffic management, highlighting their ability to adapt to dynamic conditions. By optimizing signal timings through intelligent models, cities can achieve smoother traffic movement, decreased emissions, and improved commuter experiences. The book underscores the transformative potential of data-driven solutions in urban transportation 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. Inventory optimization is a critical challenge for logistics professionals seeking to improve supply chain efficiency and reduce costs. Inventory Optimization with Machine Learning Models presents a comprehensive exploration of the latest machine learning models and techniques involved in inventory optimization. By examining the latest developments in machine learning, this book highlights the potential for improved forecasting, reduced stockouts, and increased efficiency. It also delves into the complexities of integrating machine learning into existing supply chains, including issues related to data management, process integration, and user adoption. With a focus on real-world case studies and practical applications, Inventory Optimization with Machine Learning Models provides a valuable resource for logistics professionals seeking to harness the power of machine 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.

Softcover. Condition: New. Dust Jacket Condition: no dj. First. The future of search optimization lies in machine learning, and Machine Learning Models for Predictive Search Optimization offers a cutting-edge exploration of the latest developments in this field. By examining the latest machine learning models and techniques, readers will gain a deeper understanding of how to predict and optimize search engine rankings, driving real results for their online presence. Whether you're a marketer, developer, or business owner, this book provides essential insights into the world of predictive search 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.

Softcover. Condition: New. Dust Jacket Condition: no dj. First. Machine Learning Models for Nutritional Optimization is a comprehensive guide that offers a detailed overview of the latest advances in machine learning and data analysis for optimizing nutritional outcomes. By examining the current state of the art in fields such as nutrition science and artificial intelligence, the book provides a rich source of information for researchers and practitioners seeking to understand the complex relationships between nutrition, data, and decision-making. Through a combination of theoretical and practical insights, the text reveals the exciting possibilities for using machine learning to improve nutritional outcomes and promote public health. 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. Machine learning models are revolutionizing the way we optimize supply chains, and Machine Learning Models in Supply Chain Optimization provides a comprehensive guide to this emerging field. By leveraging advanced machine learning and data analytics techniques, supply chain professionals can identify and respond to emerging trends and challenges in real-time, improving efficiency, reducing costs, and enhancing customer satisfaction. This book covers the latest methods and tools for machine learning models in supply chain optimization, including predictive modeling, clustering, and decision support systems, and provides practical examples and case studies to illustrate key concepts. Whether you're a supply chain expert, data scientist, or business leader, Machine Learning Models in Supply Chain Optimization is an essential resource for anyone looking to stay ahead of the curve and drive success in supply chain 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.