Computational Intelligence & Knowledge-based Systems: Models, Algorithms & Applications – serie
Visar alla böcker i serien Computational Intelligence & Knowledge-based Systems: Models, Algorithms & Applications. Handla med fri frakt och snabb leverans.
2 produkter
2 produkter
Del 1 - Computational Intelligence & Knowledge-based Systems: Models, Algorithms & Applications
Ai In Finance: Shaping The Future Of Intelligent Automation And Financial Services
Inbunden, Engelska, 2026
1 441 kr
Skickas inom 3-6 vardagar
This book provides a clear and accessible overview of how artificial intelligence (AI) and robotics are revolutionizing the financial industry. It begins by introducing the key concepts of AI and its historical evolution, emphasizing its growing importance in finance. The reader is then guided through the foundational technologies, including machine learning and neural networks, while also addressing the ethical challenges of AI.As the book progresses, it explores practical applications, such as how AI enhances financial analysis, risk management, and operational efficiency through automation. It also discusses AI-driven investment strategies, like algorithmic trading and robo-advisors, and highlights how AI improves customer experiences with tools like chatbots and personalized services.Further chapters focus on AI's role in risk management, regulatory compliance, and cybersecurity, as well as its influence on innovative financial products like InsurTech and cryptocurrencies. The book concludes by examining AI's impact on financial planning, future workforce skills, and the broader transformation of the financial sector, offering predictions and strategic recommendations for stakeholders.
Inbunden, Engelska, 2026
1 876 kr
Kommande
Advanced Statistical Methods for Transportation Economics and Engineering presents recent advances and contemporary approaches in statistics, machine learning, and computational modeling, catered to the evolving demands of transportation systems. It analyses and interrogates smart statistical tools — like machine learning, time-series analysis, and spatial statistics — to help make sense of complex and heterogeneous transport systems.The fields of transportation economics and engineering are undergoing rapid transformation, driven by advancements in transportation systems, emerging technologies, and the imperative for sustainable solutions. To navigate these changes effectively, professionals and researchers require robust statistical tools to analyze the complex interplay of the economic, social, and engineering factors that are shaping modern transportation. Bridging the gap between theory and practice, this book emphasizes innovative approaches, interdisciplinary perspectives, and real-world applications. Emphasis is placed on interpretability and actionable results, ensuring that technical developments translate into practical improvements in transport systems.With contributions from a range of leading interdisciplinary experts and a plethora of real-world case studies, academics, practitioners, and policymakers in transport, sustainability, logistics, and urban planning will find within these pages a crucial resource for applying advanced analytical techniques to the numerous economic and engineering challenges shaping the future of transportation.