graphy
发表于 2025-3-28 17:25:44
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尊敬
发表于 2025-3-28 21:56:25
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用手捏
发表于 2025-3-29 00:00:56
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尊严
发表于 2025-3-29 05:22:02
Exploring Cause-and-Effect Relationships Between Public Company Press Releases and Their Stock Priceices on NASDAQ stock exchange, followed by a brief discussion. For this purpose, it was necessary to download the stock quotes of selected companies from the NASDAQ market from public web sources. Additionally, media messages related to selected companies had to be downloaded, and then a news sentim
思想上升
发表于 2025-3-29 09:28:38
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STRIA
发表于 2025-3-29 12:10:34
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挥舞
发表于 2025-3-29 15:50:27
Forecasting Fuel Retail Sales Volume Using Machine Learning for Sustainable Decision-Makinglume influences the planning of the effective distribution of fuels. Therefore, it impacts all other supply chains and each country‘s economy. .: This research uses machine learning to forecast fuel retail sales volume. The choice of this method and the research subject are based on the complexity o
迅速飞过
发表于 2025-3-29 23:08:14
The Effectiveness of AI Methods Compared to Statistical Analysis and Data Modeling in the Constructimic AI analysis (AMC) in scoring models for calculating LGD (Losses Given Default) – the bank’s percentage share of credit losses (in case of non-payment or delayed repayment of the loan). Analysis based on simulation data generated on the basis of probability distributions, which were obtained from
enlist
发表于 2025-3-30 02:44:50
Supporting Algorithmic Trading with Machine Learning: Progress in Backend Technologyly because of the speed and frequency but also by ruling out the influence of human emotions. Over the years many programming languages were used for machine learning research and system development. Python being easy to learn but still powerful has become popular within the scientific computing com
牛马之尿
发表于 2025-3-30 05:42:50
Forecasting e-learning Course Purchases Using Deep Learning Based on Customer Retentiones are based on analyzing many user profile characteristics, which are only sometimes available to e-learning course providers. The aim of this research is to develop a method for forecasting e-learning course purchases using deep learning based on customer retention. The multi-layer perceptron and