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Novel Financial Applications of Machine Learning and Deep Learning, Abedin


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Автор: Abedin
Название:  Novel Financial Applications of Machine Learning and Deep Learning
ISBN: 9783031185519
Издательство: Springer
Классификация:







ISBN-10: 303118551X
Обложка/Формат: Hardback
Страницы: 231
Вес: 0.54 кг.
Дата издания: 02.03.2023
Серия: International Series in Operations Research & Management Science
Язык: English
Издание: 1st ed. 2023
Иллюстрации: 171 illustrations, black and white; xii, 231 p. 171 illus.
Размер: 235 x 155
Читательская аудитория: Professional & vocational
Основная тема: Finance
Подзаголовок: Algorithms, product modeling, and applications
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book presents the state-of-the-art applications of machine learning in the finance domain with a focus on financial product modeling, which aims to advance the model performance and minimize risk and uncertainty. It provides both practical and managerial implications of financial and managerial decision support systems which capture a broad range of financial data traits. It also serves as a guide for the implementation of risk-adjusted financial product pricing systems, while adding a significant supplement to the financial literacy of the investigated study. The book covers advanced machine learning techniques, such as Support Vector Machine, Neural Networks, Random Forest, K-Nearest Neighbors, Extreme Learning Machine, Deep Learning Approaches, and their application to finance datasets. It also leverages real-world financial instances to practice business product modeling and data analysis. Software code, such as MATLAB, Python and/or R including datasets within a broad range of financial domain are included for more rigorous practice. The book primarily aims at providing graduate students and researchers with a roadmap for financial data analysis. It is also intended for a broad audience, including academics, professional financial analysts, and policy-makers who are involved in forecasting, modeling, trading, risk management, economics, credit risk, and portfolio management.
Дополнительное описание: Part 1: Recent Developments in FinTech.- 1. FinTech Risk Management and Monitoring.- 2. Digital Transformation of Supply Chain with Supportive Culture in Blockchain Environment.- 3. Integration of Artificial Intelligence Technology in Management Accountin


Advanced Machine Learning Algorithms for Complex Financial Applications

Автор: Mohamed Elhoseny, Mohammad Irfan, Noura Metawa, Salina Kassim
Название: Advanced Machine Learning Algorithms for Complex Financial Applications
ISBN: 1668444844 ISBN-13(EAN): 9781668444849
Издательство: Mare Nostrum (Eurospan)
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Цена: 213450.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The advancements in artificial intelligence and machine learning have 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 becoming more complex within the field of finance. Artificial intelligence and machine learning, with their spectacular success accompanied by unprecedented accuracies, have become increasingly important in the finance world.

Advanced Machine Learning Algorithms for Complex Financial Applications provides innovative research on the roles of artificial intelligence and machine learning algorithms in financial sectors with special reference to complex financial applications such as financial risk management in big data environments. In addition, the book addresses broad challenges in both theoretical and application aspects of artificial intelligence in the field of finance. Covering essential topics such as secure transactions, financial monitoring, and data modeling, this reference work is crucial for financial specialists, researchers, academicians, scholars, practitioners, instructors, and students.

Hands-On Artificial Intelligence for Banking: A practical guide to building intelligent financial applications using machine learning techniques

Автор: Ng Jeffrey, Shah Subhash
Название: Hands-On Artificial Intelligence for Banking: A practical guide to building intelligent financial applications using machine learning techniques
ISBN: 1788830784 ISBN-13(EAN): 9781788830782
Издательство: Неизвестно
Цена: 47810.00 T
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Описание:

Delve into the world of real-world financial applications using deep learning, artificial intelligence, and production-grade data feeds and technology with Python

Key Features

  • Understand how to obtain financial data via Quandl or internal systems
  • Automate commercial banking using artificial intelligence and Python programs
  • Implement various artificial intelligence models to make personal banking easy

Book Description

Remodeling your outlook on banking begins with keeping up to date with the latest and most effective approaches, such as artificial intelligence (AI). Hands-On Artificial Intelligence for Banking is a practical guide that will help you advance in your career in the banking domain. The book will demonstrate AI implementation to make your banking services smoother, more cost-efficient, and accessible to clients, focusing on both the client- and server-side uses of AI.

You'll begin by understanding the importance of artificial intelligence, while also gaining insights into the recent AI revolution in the banking industry. Next, you'll get hands-on machine learning experience, exploring how to use time series analysis and reinforcement learning to automate client procurements and banking and finance decisions. After this, you'll progress to learning about mechanizing capital market decisions, using automated portfolio management systems and predicting the future of investment banking. In addition to this, you'll explore concepts such as building personal wealth advisors and mass customization of client lifetime wealth. Finally, you'll get to grips with some real-world AI considerations in the field of banking.

By the end of this book, you'll be equipped with the skills you need to navigate the finance domain by leveraging the power of AI.

What you will learn

  • Automate commercial bank pricing with reinforcement learning
  • Perform technical analysis using convolutional layers in Keras
  • Use natural language processing (NLP) for predicting market responses and visualizing them using graph databases
  • Deploy a robot advisor to manage your personal finances via Open Bank API
  • Sense market needs using sentiment analysis for algorithmic marketing
  • Explore AI adoption in banking using practical examples
  • Understand how to obtain financial data from commercial, open, and internal sources

Who this book is for

This is one of the most useful artificial intelligence books for machine learning engineers, data engineers, and data scientists working in the finance industry who are looking to implement AI in their business applications. The book will also help entrepreneurs, venture capitalists, investment bankers, and wealth managers who want to understand the importance of AI in finance and banking and how it can help them solve different problems related to these domains. Prior experience in the financial markets or banking domain, and working knowledge of the Python programming language are a must.


Machine Learning for Asset Management: New Developments and Financial Applications

Автор: Jurczenko Emmanuel
Название: Machine Learning for Asset Management: New Developments and Financial Applications
ISBN: 1786305445 ISBN-13(EAN): 9781786305442
Издательство: Wiley
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Цена: 146730.00 T
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Описание: Compares structural and Bayesian models to the random walk benchmark in forecasting exchange rates between South American currencies and the US Dollar, and between the Paraguayan Guarani, Brazilian Real and Argentinian Peso. Forecasts are evaluated using the criteria of Root Mean Square Error, Direction of Change, and the Diebold-Mariano statistic.

Financial Statistics and Mathematical Finance: Methods, Models and Applications

Автор: Steland
Название: Financial Statistics and Mathematical Finance: Methods, Models and Applications
ISBN: 0470710586 ISBN-13(EAN): 9780470710586
Издательство: Wiley
Рейтинг:
Цена: 68110.00 T
Наличие на складе: Поставка под заказ.
Описание: *Provides an introduction to the basics of financial statistics and mathematical finance.

Stochastic calculus and financial applications

Автор: Steele, J.michael
Название: Stochastic calculus and financial applications
ISBN: 1441928626 ISBN-13(EAN): 9781441928627
Издательство: Springer
Рейтинг:
Цена: 69830.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book will appeal to practitioners and students who want an elementary introduction to these areas.From the reviews: "As the preface says, `This is a text with an attitude, and it is designed to reflect, wherever possible and appropriate, a prejudice for the concrete over the abstract`.

Building Financial Risk Management Applications with C++

Автор: Brooks Robert
Название: Building Financial Risk Management Applications with C++
ISBN: 147835075X ISBN-13(EAN): 9781478350750
Издательство: Неизвестно
Цена: 45970.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.

Basics of Financial Econometrics

Автор: Fabozzi Frank J
Название: Basics of Financial Econometrics
ISBN: 111857320X ISBN-13(EAN): 9781118573204
Издательство: Wiley
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Цена: 110880.00 T
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Описание: An accessible guide to the growing field of financial econometrics As finance and financial products have become more complex, financial econometrics has emerged as a fast-growing field and necessary foundation for anyone involved in quantitative finance.

Handbook of Financial Engineering

Автор: Constantin Zopounidis; Michael Doumpos; Panos Pard
Название: Handbook of Financial Engineering
ISBN: 1441945733 ISBN-13(EAN): 9781441945730
Издательство: Springer
Рейтинг:
Цена: 181670.00 T
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Описание: This comprehensive edited volume discusses the most recent advances within the field of financial engineering, focusing not only on the description of the existing areas in financial engineering research, but also on the new methodologies that have been developed for modeling and addressing financial engineering problems.

Financial, Commercial, and Mortgage Mathematics and Their Applications, Revised and Updated Edition

Автор: Prakash Arun J., Ghosh Dilip K.
Название: Financial, Commercial, and Mortgage Mathematics and Their Applications, Revised and Updated Edition
ISBN: 1440830932 ISBN-13(EAN): 9781440830938
Издательство: Bloomsbury
Цена: 84150.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Ideal for college students in intermediate finance courses, this book uniquely applies mathematical formulas to teach the underpinnings of financial and lending decisions, covering common applications in real estate, capital budgeting, and commercial loans.

Financial Risk Management

Автор: Skoglund Jimmy
Название: Financial Risk Management
ISBN: 1119135516 ISBN-13(EAN): 9781119135517
Издательство: Wiley
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Цена: 83430.00 T
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Описание: A global banking risk management guide geared toward the practitioner Financial Risk Management presents an in-depth look at banking risk on a global scale, including comprehensive examination of the U.S. Comprehensive Capital Analysis and Review, and the European Banking Authority stress tests.

Macroprudential Regulation and Policy for the Islamic Financial Industry

Автор: Zulkhibri
Название: Macroprudential Regulation and Policy for the Islamic Financial Industry
ISBN: 3319304437 ISBN-13(EAN): 9783319304434
Издательство: Springer
Рейтинг:
Цена: 107130.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume aims to discuss thecurrent research, theory, methodology and applications of macropreudentialregulation and policy for the Islamic financial industry. Published incooperation with the Islamic Research and Training Institute (IRTI), this book featurescontributions from a workshop presented in collaboration with the UniversityCollege of Bahrain (UCB) in Manama, Bahrain, aimed to bring together experts inIslamic banking and regulation and financial economics. This resulting booksheds light on how macroprudential policy may be implemented in the Islamicfinancial system, and indicates current challenges and their effects oneconomic growth, financial stability and monetary regulation.Macroprudential policyis increasingly seen as a way of dealing with the different dimensions ofsystemic risk. But many central banks, bank supervisors and regulators havelimited experience with macroprudential tools, particularly in the Islamicfinancial industry. Given the complementarities between monetary policy andfinancial stability, it appears that central banks would always play animportant role in macroprudential policy. But how should macroprudential policybest interact with monetary policy? It is becoming more pressing for the centralbanks to conduct monetary policy in which its conventional banking systemoperates side by side with Islamic banking system. This question has receivedincreasing attention in the research literature but there is much we still needto learn. This is why new insights from research on macroprudential policy –which has gained important impetus in recent years – are so valuable. Featuringcontributions on topics such as macroprudential regulation, policy, tools andinstruments; governance, systematic risk, monetary policy, and bank leverage,the editors provide a collection of comprehensive research covering the mostimportant issues on macroprudential policy and regulation for the Islamicfinancial industry. This volume is expected to be a significant contribution tothe literature in the field of Islamic finance and evaluation of publicpolicies to promote the development for Islamic financial industry. It is alsoserved as a key text for students, academics, researchers, policy-makers in thefield of Islamic finance.

Extreme Events in Finance - A Handbook of Extreme Value Theory and its Applications

Автор: Francois Longin
Название: Extreme Events in Finance - A Handbook of Extreme Value Theory and its Applications
ISBN: 1118650190 ISBN-13(EAN): 9781118650196
Издательство: Wiley
Рейтинг:
Цена: 138280.00 T
Наличие на складе: Поставка под заказ.
Описание: "Extreme Events in Finance: A Handbook of Extreme Value Theory and its Applications features a combination of the theory, methods, and applications of extreme value theory (EVT) in finance as well as a practical understanding of market behavior including both ordinary and extraordinary conditions"--


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