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Advanced Machine Learning Algorithms for Complex Financial Applications by Moham

Description: Advanced Machine Learning Algorithms for Complex Financial Applications by Mohammad Irfan, Mohamed Elhoseny, Salina Kassim, Noura Metawa Estimated delivery 3-12 business days Format Hardcover Condition Brand New Description Provides an exhaustive overview of the roles of artificial intelligence (AI) and machine learning (ML) algorithms in financial sectors with special reference to complex financial applications such as financial risk management in a big data environment. Publisher Description The advancement in FinTech especially artificial intelligence (AI) and machine learning (ML), has significantly affected the way financial services are offered and adopted today. Important financial decisions such as investment decision making, macroeconomic analysis, and credit evaluation are getting more complex in the field of finance. ML is used in many financial companies which are making a significant impact on financial services. With the increasing complexity of financial transaction processes, ML can reduce operational costs through process automation which can automate repetitive tasks and increase productivity. Among others, ML can analyze large volumes of historical data and make better trading decisions to increase revenue.This book provides an exhaustive overview of the roles of AI and ML algorithms in financial sectors with special reference to complex financial applications such as financial risk management in a big data environment. In addition, it provides a collection of high-quality research works that address broad challenges in both theoretical and application aspects of AI in the field of finance. Author Biography Mohammad Irfan is presently working as an Associate Professor at CMR Institute of Technology, Bangalore. Prior joining to CMRIT, he was associated with the School of Business, AURO University, Surat, Gujarat for five years. He is MBA (Finance and Marketing) and M.Com (Account and Law). Dr. Irfan has done this Ph.D. from the Central University of Haryana. He has qualified UGC-SRF/NET in Management and UGC-NET in Commerce. Dr. Irfan has also qualified NSEs (NCFM) and BSEs Certification. He has experience of fifteen years in the area of Financial Management, Portfolio Management, Data Analysis for Business, Financial Engineering, Financial Analytics, Fintech, Financial modeling in Excel, Green Finance, and Alternative Finance. He has to his credit various research papers published in Scopus Indexed Journals. He is an editorial board member/reviewer in several national and international journals. Dr. Irfan presented papers in IIM-A, IIM-C, IIM-Indore, IIM-Shillong, IIT-Roorkee, Indonesia, Malaysia, Nigeria, Switzerland.Salina Kassim has a great passion in writing scholarly articles in various areas of Islamic banking and finance. She has published extensively in academic journals with nearly 200 scholarly articles in the areas of her research interests. She has also published several books mainly in the areas of Islamic finance. In recognition to her dynamic role as a subject matter expert, she has been appointed as member of the editorial boards of several reputable international and local journals. At present, she is supervising (and has supervised) nearly 80 post-graduate candidates at the PhD and Masters levels. She has also served as internal and external examiners for Masters and PhD theses in several universities, apart from being appointed as Adjunct Professor, Visiting Research Fellow and trainer at several universities and institutes, locally and abroad. Details ISBN 1668444836 ISBN-13 9781668444832 Title Advanced Machine Learning Algorithms for Complex Financial Applications Author Mohammad Irfan, Mohamed Elhoseny, Salina Kassim, Noura Metawa Format Hardcover Year 2023 Pages 292 Publisher IGI Global GE_Item_ID:158581182; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys

Price: 269.99 USD

Location: Fairfield, Ohio

End Time: 2024-11-06T15:16:45.000Z

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Advanced Machine Learning Algorithms for Complex Financial Applications by Moham

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Restocking Fee: No

Return shipping will be paid by: Buyer

All returns accepted: Returns Accepted

Item must be returned within: 30 Days

Refund will be given as: Money Back

ISBN-13: 9781668444832

Book Title: Advanced Machine Learning Algorithms for Complex Financial Applic

Number of Pages: 335 Pages

Language: English

Publication Name: Advanced Machine Learning Algorithms for Complex Financial Applications

Publisher: IGI Global

Publication Year: 2023

Subject: Finance / General, Intelligence (Ai) & Semantics

Type: Textbook

Subject Area: Computers, Business & Economics

Author: Mohamed Elhoseny

Item Length: 10 in

Series: Advances in Finance, Accounting, and Economics Ser.

Item Width: 7 in

Format: Hardcover

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