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Titlebook: Machine Intelligence and Soft Computing; Proceedings of ICMIS Debnath Bhattacharyya,Sanjoy Kumar Saha,Philippe F Conference proceedings 202

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樓主: enamel
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發(fā)表于 2025-3-23 11:03:29 | 只看該作者
Prediction of Wall Street Through AI Approach,ar Regression, LSTM (which is said to be the particular type of RNN), SVM Regressor?is performed including analysis. Then, a Comparative report between these techniques has been done regarding its prediction accuracy and performance. After analyzing all the models separately, the?LSTM?is the most precise for the stock?value?forecast.
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發(fā)表于 2025-3-23 14:05:56 | 只看該作者
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發(fā)表于 2025-3-23 18:22:09 | 只看該作者
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發(fā)表于 2025-3-23 22:50:51 | 只看該作者
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發(fā)表于 2025-3-24 02:40:13 | 只看該作者
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發(fā)表于 2025-3-24 06:50:32 | 只看該作者
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發(fā)表于 2025-3-24 14:35:17 | 只看該作者
Analyzing Comments on Social Media with XG Boost Mechanism,s in vectors. Bag of Words uses machine learning algorithms like Random Forest and Naive Bayes. Finally, the XG Boost model is used with advanced parameters to determine the most effective ranking model for sentiment analysis.
18#
發(fā)表于 2025-3-24 15:05:45 | 只看該作者
19#
發(fā)表于 2025-3-24 22:37:31 | 只看該作者
Utilization of Machine Learning Techniques in Pharma, of scientists. Recently, the application of machine learning in medicine and pharma is growing in recent times in rapid fast. In the current paper, the authors represent the seven applications or areas in medicine and pharma where the applications of machine learning were implemented, and good results are obtained.
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發(fā)表于 2025-3-25 01:46:03 | 只看該作者
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