finance and technology courses

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Item specifics

Condition
Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See the …

Book Title
Intelligent Multimedia Technologies for Financial Risk Management
ISBN
9781839536618
Subject Area
Computers
Publication Name
Intelligent Multimedia Technologies for Financial Risk Management : Trends, Tools and Applications
Publisher
Institution of Engineering & Technology
Item Length
9.2 in
Subject
Computer Science, Security / General
Publication Year
2023
Series
Computing and Networks Ser.
Type
Textbook
Format
Hardcover
Language
English
Author
Kiran Sood
Item Width
6.1 in
Number of Pages
374 Pages

Intelligent Multimedia Technologies for Financial Risk Management : Trends, T…

About this product

Product Identifiers

Publisher
Institution of Engineering & Technology
ISBN-10
1839536616
ISBN-13
9781839536618
eBay Product ID (ePID)
9059331916

Product Key Features

Number of Pages
374 Pages
Publication Name
Intelligent Multimedia Technologies for Financial Risk Management : Trends, Tools and Applications
Language
English
Publication Year
2023
Subject
Computer Science, Security / General
Type
Textbook
Subject Area
Computers
Author
Kiran Sood
Series
Computing and Networks Ser.
Format
Hardcover

Dimensions

Item Length
9.2 in
Item Width
6.1 in

Additional Product Features

Intended Audience
College Audience
Dewey Edition
23
Illustrated
Yes
Dewey Decimal
658.155
Table Of Content
Chapter 1: Applications of multimedia in diverse fields: an overview Chapter 2: Evolution of multimedia banking and technology acceptance theories Chapter 3: Banking, Fintech, BigTech: emerging challenges for multimedia adoption Chapter 4: Multimedia technologies in the financial market Chapter 5: Data analytics in finance Chapter 6: Machine learning and deep learning for financial data analysis Chapter 7: Self-supervised, unsupervised & semi-supervised learning for multimedia banking and financial services Chapter 8: Natural language processing and multimedia applications in finance Chapter 9: Digital disruption and multimedia technological innovations in the banking world Chapter 10: Fraud and cyber operation countermeasures for multimedia in financial services Chapter 11: Blockchain technology for the financial markets Chapter 12: Automation to handle customer complaints: a grievance handling system Chapter 13: Robotic process automation applications area in the financial sector Chapter 14: Multimedia sustained benefits for financial services Chapter 15: Extensive use of multimedia technologies: real-world case studies of multimedia banking Chapter 16: Concluding remarks – fintech and technology of today and tomorrow
Synopsis
Multimedia technologies have opened up a wide range of applications by combining a variety of information sources such as voice, graphics, animation, images, audio, and full-motion video which can be successfully implemented in banking, financial services and insurance (BFSI) industries to support their activities and strategic goals. This volume provides an overview of multimedia technologies in finance and banking, introduces suitable machine learning and deep learning techniques for financial data analysis, discusses fraud and cyber operation countermeasures for multimedia in financial services, presents concrete applications of natural language processing (NPR) for financial data, introduces robotic process automation technology from the financial market to technology implementation, explains how self-supervised, unsupervised and semi-supervised learning are driving the financial market revolution, and unlocks real-world case studies in multimedia banking across the globe. The book is intended for professionals involved in multimedia systems and technology design and applications. It can also be used as an advanced text for courses on multimedia., This book provides an overview of multimedia technologies used in finance and banking, including ML and DL techniques for financial data analysis, fraud and cyber operation countermeasures, concrete applications of NPR for financial data, self-supervised, unsupervised & semi-supervised learning methods and real-world case studies.
LC Classification Number
HD61

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