machine learning predictive analysis (131 resultados)

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Paperback or Softback. Condición: New. Implementing Machine Learning for Finance: A Systematic Approach to Predictive Risk and Performance Analysis for Investment Portfolios 0.64. Book.

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Softcover. Condición: New. Estado de la sobrecubierta: no dj. First. Machine Learning for Predictive Failure Analysis offers a comprehensive exploration of the intersection between machine learning and predictive failure analysis. By leveraging the power of machine learning algorithms, this book provides a framework for identifying and mitigating potential failures in complex systems. The authors present a range of techniques for data analysis and modeling, enabling readers to develop predictive models that can anticipate and prevent failures. From the development of predictive models to the implementation of failure prevention strategies, this book provides a thorough understanding of the role of machine learning in predictive failure analysis. With its focus on practical applications and real-world examples, Machine Learning for Predictive Failure Analysis is an essential resource for engineers, data scientists, and anyone looking to harness the power of machine learning for predictive maintenance. 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. Machine Learning - Essential Strategies for Predictive Analysis presents a comprehensive approach to harnessing the power of machine learning in predictive analysis. By leveraging advanced algorithms and statistical models, this book equips readers with the skills to identify patterns and make informed decisions. The authors explore the intricacies of machine learning, from data preprocessing to model evaluation, providing a thorough understanding of the subject. Through real-world examples and case studies, readers will learn to implement machine learning strategies in various industries, driving business growth and competitive advantage. By mastering the techniques outlined in this book, readers will be able to unlock the full potential of machine learning and predictive analysis, transforming their organizations into data-driven powerhouses. 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. Leveraging Machine Learning for Predictive Impact Analysis offers a fascinating exploration of the role of machine learning in predictive impact analysis, including the ways in which machine learning can help to identify high-impact opportunities, predict program outcomes, and optimize resource allocation. This book examines the latest research on the application of machine learning in impact analysis, including the use of natural language processing, computer vision, and predictive modeling. By exploring the intersection of machine learning, impact analysis, and data science, the author reveals the potential of machine learning to revolutionize the field of impact analysis and provides a roadmap for policymakers, practitioners, and researchers seeking to harness the power of machine learning for the greater good. 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. Machine Learning for Predictive Web Traffic Analysis offers a comprehensive exploration of the latest advancements in machine learning and their applications in predictive web traffic analysis. The book presents a thorough analysis of the technical and methodological considerations involved in using machine learning techniques to predict web traffic patterns, highlighting the benefits of data-driven insights in informing web development strategies and improving overall system performance. By examining the latest trends and innovations in machine learning, this book provides a comprehensive guide for developers, researchers, and analysts seeking to leverage the power of machine learning in their web development endeavors. 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. Machine Learning for Predictive Market Trend Analysis explores advanced algorithms and data-driven techniques to forecast financial and economic shifts. This book provides insights into how machine learning models can identify patterns, anticipate market movements, and support strategic decision-making. It emphasizes the importance of predictive analytics in navigating volatile markets and offers practical applications across various sectors. Readers will gain a comprehensive understanding of the tools necessary to harness machine learning for accurate market predictions, fostering a competitive edge in dynamic financial environments. 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. In today's fast-paced business landscape, companies are constantly seeking innovative ways to stay ahead of the curve. Machine Learning Applications in Predictive Market Analysis offers a comprehensive exploration of the cutting-edge techniques being used to drive business success. By leveraging machine learning algorithms and predictive analytics, organizations can gain a deeper understanding of their customers, identify emerging trends, and make data-driven decisions that propel their growth. This book provides a detailed examination of the latest methodologies and tools, equipping readers with the knowledge and skills needed to harness the power of machine learning and drive business excellence. 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. Machine learning algorithms hold the key to unlocking the secrets of web traffic patterns, and 'Machine Learning for Predictive Web Traffic Analysis' provides a thorough exploration of this powerful tool. By leveraging machine learning techniques, web analysts can gain valuable insights into user behavior, identify trends, and make data-driven decisions to optimize website performance. This book takes a deep dive into the world of machine learning, covering topics such as data preprocessing, model selection, and evaluation metrics. With its focus on practical applications and real-world examples, 'Machine Learning for Predictive Web Traffic Analysis' is an essential resource for anyone seeking to harness the power of machine learning for web traffic analysis. 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. Machine Learning for Predictive Disruption Analysis in Supply Chains presents a comprehensive overview of the potential of machine learning techniques in predictive disruption analysis. By examining the applications of machine learning in supply chain risk management, this book provides a nuanced understanding of their potential to enhance disruption analysis outcomes. The author's in-depth analysis of machine learning and predictive analytics offers a valuable resource for researchers and practitioners seeking to improve supply chain resilience and reduce the risk of disruptions. Through a series of case studies and real-world applications, this book demonstrates the potential of machine learning to enhance disaster resilience and promote sustainable 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.

Condición: Sehr gut. Zustand: Sehr gut | Seiten: 660 | Sprache: Englisch | Produktart: Bücher.

Softcover. Condición: New. Estado de la sobrecubierta: no dj. First. Using Machine Learning for Predictive Analysis of Rare Disease Spread explores advanced computational techniques to forecast the dissemination patterns of uncommon illnesses. This book details how machine learning algorithms can identify trends, risk factors, and potential outbreak zones with high accuracy. It underscores the significance of data-driven decision-making in public health strategies. The focus is on leveraging artificial intelligence to enhance early detection and containment efforts, ultimately reducing the impact of rare diseases on vulnerable populations. 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. Harnessing Machine Learning for Predictive Claims Analysis highlights the application of advanced algorithms to forecast insurance claims with greater accuracy. This book discusses the development of models that identify patterns, assess risks, and optimize claims processing workflows. It emphasizes the role of artificial intelligence in reducing fraud, improving customer experience, and enhancing operational efficiency. The narrative underscores the transformative potential of machine learning in modern claims 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. Condición: New. Estado de la sobrecubierta: no dj. First. The analysis of soil chemistry is a critical component of agricultural research, with researchers seeking to develop innovative solutions for predicting soil conditions. 'Harnessing Machine Learning for Predictive Soil Chemistry Analysis' presents a comprehensive overview of the latest research in this field, examining the development of machine learning algorithms and their applications in soil chemistry analysis. By exploring the complex relationships between soil composition, machine learning models, and predictive accuracy, this text provides a framework for designing and implementing effective machine learning systems that can support the analysis of soil chemistry. 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 diagnosis and management of rare plant diseases is a complex and challenging task that requires the development of specialized technologies and tools. This book presents a cutting-edge approach to predictive analysis of rare plant disease using machine learning innovations. By harnessing the power of machine learning algorithms, researchers can design and deploy predictive models that can identify and classify rare plant diseases with unprecedented accuracy and precision. This book provides a detailed overview of the latest techniques and technologies for machine learning applications in plant disease diagnosis, including the use of deep learning and the development of novel feature extraction methods. By exploring the potential applications of machine learning innovations in plant disease diagnosis, readers can gain a deeper understanding of the future of plant health management and the importance of advancing our understanding of plant disease ecology. 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 increasing use of machine learning in market trend analysis has enabled businesses to make more informed and data-driven decisions. 'Machine Learning for Predictive Market Trend Analysis' explores the potential of machine learning in enhancing the accuracy and reliability of market trend forecasts. By examining the ways in which machine learning can be used to analyze large datasets and identify patterns, this book provides a comprehensive understanding of its impact on market trend analysis. From the development of predictive models to the improvement of market risk assessment, this book offers a wealth of knowledge for market analysts and professionals seeking to leverage machine learning to drive business growth. By understanding the potential of machine learning in predictive market trend analysis, readers will be equipped to create more accurate and responsive market forecasts. 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. Machine Learning, Strategic Threat Assessment, Predictive Analytics, Decision Support Systems, Situational Awareness 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.