صورة الغلاف

AI in Banking Practical Applications and Case Studies /

Big data and artificial intelligence (AI) cannot remain limited to academic theoretical research. It is crucial to utilize them in practical business scenarios, enabling cutting-edge technology to generate tangible value. This book delves into the application of AI from theory to practice, offering...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
المؤلفون الرئيسيون: Shao, Liyu (مؤلف), Chen, Qin (مؤلف), He, Min (مؤلف)
مؤلف مشترك: SpringerLink (Online service)
التنسيق: الكتروني كتاب الكتروني
اللغة:الإنجليزية
منشور في: Singapore : Springer Nature Singapore : Imprint: Springer, 2025.
الطبعة:1st ed. 2025.
الموضوعات:
Machine learning.
Artificial intelligence > Data processing.
Computer vision.
Natural language processing (Computer science).
Biometric identification.
Python (Computer program language).
Machine Learning.
Data Science.
Computer Vision.
Natural Language Processing (NLP).
Biometrics.
Python.
الوصول للمادة أونلاين:https://doi.org/10.1007/978-981-96-3837-6
الوسوم: إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
الوصف
الملخص:Big data and artificial intelligence (AI) cannot remain limited to academic theoretical research. It is crucial to utilize them in practical business scenarios, enabling cutting-edge technology to generate tangible value. This book delves into the application of AI from theory to practice, offering detailed insights into AI project design and code implementation across eleven business scenarios in four major sectors: retail banking, e-banking, bank credit, and tech operations. It provides hands-on examples of various technologies, including automatic machine learning, integrated learning, graph computation, recommendation systems, causal inference, generative adversarial networks, supervised learning, unsupervised learning, computer vision, reinforcement learning, fuzzy control, automatic control, speech recognition, semantic understanding, Bayesian networks, edge computing, and more. This book stands as a rare and practical guide to AI projects in the banking industry. By avoiding complex mathematical formulas and theoretical analyses, it uses plain language to illustrate how to apply AI technology in commercial banking business scenarios. With its strong readability and practical approach, this book enables readers to swiftly develop their own AI projects.
وصف مادي:1 online resource (XXII, 354 p. 264 illus.). 7 illus. in color.
ردمك:9789819638376
DOI:10.1007/978-981-96-3837-6

مواد مشابهة