Real Time Applications Machine Learning (49 results)

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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book elaborately discusses techniques commonly used to improve generalization performance in classification approaches. The contents highlight methods to improve classification performance in numerous case studies: ranging from datasets of UCI repository to predictive maintenance problems and cancer classification problems. The book specifically provides a detailed tutorial on how to approach time-series classification problems and discusses two real time case studies on condition monitoring. In addition to describing the various aspects a data scientist must consider before finalizing their approach to a classification problem and reviewing the state of the art for improving classification generalization performance, it also discusses in detail the authors own contributions to the field, including MVPC - a classifier with very low VC dimension, a graphical indices based framework for reliable predictive maintenance and a novel general-purpose membership functions for Fuzzy Support Vector Machine which provides state of the art performance with noisy datasets, and a novel scheme to introduce deep learning in Fuzzy Rule based classifiers (FRCs). This volume will serve as a useful reference for researchers and students working on machine learning, health monitoring, predictive maintenance, time-series analysis, gene-expression data classification.

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Softcover. Condition: New. Dust Jacket Condition: no dj. First. Machine Learning Applications in Real-Time Data Analysis offers a unique perspective on the art of machine learning, examining the ways in which machine learning algorithms can be used to analyze and interpret real-time data. By exploring the latest trends and innovations in machine learning, the book provides a comprehensive guide to creating and managing machine learning applications that are more efficient, effective, and sustainable. From predictive analytics to anomaly detection, the book covers the entire spectrum of machine learning applications, highlighting the key role that machine learning plays in creating more data-driven and responsive organizations. 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 fast-paced world, real-time data analysis is crucial for making informed decisions. Machine Learning Applications in Real-Time Data Analysis provides a comprehensive guide to leveraging machine learning techniques for real-time data analysis. By exploring the latest advancements in machine learning, this book offers practical insights into the development of efficient and effective real-time data analysis systems. From predictive modeling to anomaly detection, Machine Learning Applications in Real-Time Data Analysis equips readers with the knowledge to harness the power of machine learning and make data-driven decisions in real-time. 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 fast-paced digital landscape, the integration of API microservices and cloud-native applications has become a critical component of innovative solutions. The book 'API Microservices for Cloud-Native Applications and Real-Time Data with Machine Learning' explores the intersection of API microservices, cloud-native applications, and real-time data, highlighting the potential for seamless integration and enhanced decision-making. By examining the complex relationships between these technologies, the book provides a comprehensive understanding of the opportunities and challenges presented by their integration. It offers a nuanced examination of the role of API microservices in facilitating the exchange of data between cloud-native applications and real-time data systems, and proposes innovative solutions for leveraging machine learning to enhance the accuracy and efficiency of data-driven decision-making. Through a multidisciplinary approach, the book examines the potential of API microservices to enhance the scalability, flexibility, and security of cloud-native applications. 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. Scaling Machine Learning Models for Real-Time Applications provides a comprehensive exploration of the rapidly evolving landscape of machine learning and real-time systems. By examining the theoretical foundations and practical applications of machine learning scaling, this book offers a nuanced understanding of the potential benefits of adopting a machine learning approach to real-time systems. Through a series of in-depth case studies and theoretical frameworks, readers will gain a deeper appreciation for the potential applications of machine learning scaling in fields such as real-time systems, IoT, and edge computing. 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 digital landscape continues to evolve, the importance of API development for artificial intelligence (AI) and machine learning applications cannot be overstated. This book provides a detailed guide to building APIs that can integrate with AI and machine learning models to provide real-time insights. By exploring the intersection of API development and AI, the book offers practical advice on how to design and implement APIs that can detect and prevent threats in real-time. From data integration to analytics, the book covers all aspects of API development for AI and machine learning applications with real-time data. 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.