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Titlebook: Novel Financial Applications of Machine Learning and Deep Learning; Algorithms, Product Mohammad Zoynul Abedin,Petr Hajek Book 2023 The Ed

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樓主: Traction
41#
發(fā)表于 2025-3-28 16:36:23 | 只看該作者
42#
發(fā)表于 2025-3-28 20:35:58 | 只看該作者
David VeganzonesGF(2.), then each block has comprised . ? 1, . bit symbols. There is, however, no reason why we can’t use smaller or larger message block sizes within the same field if we so choose. In the single-error correcting example of Chapter 6, (6.1) and (6.2) were used to force two roots into the message ve
43#
發(fā)表于 2025-3-28 23:49:36 | 只看該作者
44#
發(fā)表于 2025-3-29 05:08:38 | 只看該作者
d which is best suited for a given industrial application? How can service conditions change the performance of materials? This compact undergraduate textbook gives you, the engineer, insight into these questions and the information you need to effectively interact with materials experts from all wa
45#
發(fā)表于 2025-3-29 08:34:56 | 只看該作者
46#
發(fā)表于 2025-3-29 13:24:28 | 只看該作者
Mahmudul Hasan,Ushna Das,Rony Kumar Datta,Mohammad Zoynul Abedinte and sectional interests for the maintenance of something labelled variously by contemporaries or historians ‘the public interest’, ‘the common good’, ‘the welfare of England’, ‘the commonweal’, ‘the commonwealth’, ‘the interest of the kingdom’. The king, who was so good to his own children, can b
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發(fā)表于 2025-3-29 18:16:57 | 只看該作者
48#
發(fā)表于 2025-3-29 22:05:30 | 只看該作者
FinTech Risk Management and MonitoringThis chapter aims to identify specific fintech risks and appropriate ways to manage the?risks. A?qualitative research method is used to explore the objectives of this study. The findings of this study include the major risks behind the rapid development of fintech, and the fintech risk management?st
49#
發(fā)表于 2025-3-30 00:10:05 | 只看該作者
50#
發(fā)表于 2025-3-30 07:54:38 | 只看該作者
Integration of Artificial Intelligence Technology in Management Accounting Information System: An Em be flexible is limited due to numerous assumptions. This paper aims to establish an artificial neural network-based model to predict management information and verify the accuracy of the model using some real data. The proposed model covers five dimensions, namely, accounting analysis management sy
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