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Titlebook: Applied Advanced Analytics; 6th IIMA Internation Arnab Kumar Laha Conference proceedings 2021 The Editor(s) (if applicable) and The Author(

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發(fā)表于 2025-3-26 21:49:50 | 只看該作者
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發(fā)表于 2025-3-27 04:04:39 | 只看該作者
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發(fā)表于 2025-3-27 08:22:35 | 只看該作者
https://doi.org/10.1007/978-3-642-15491-1ducational data mining and learning analytics is in its nascent stage. Applying analytics in education is the need of the hour, especially in the context of a developing economy like India. It is time for educational institutions to use machine learning tools to enhance teaching–learning experience.
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發(fā)表于 2025-3-27 12:05:22 | 只看該作者
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發(fā)表于 2025-3-28 01:15:08 | 只看該作者
Mardiana Idayu Ahmad,Saffa Riffatel data model is positioned to estimate this interface at three levels, (1) for upper middle-income countries (UMICs), (2) for lower middle-income countries (LMICs), and (3) for total middle-income countries (MICs), combined UMICs and LMICs. Each level has six different cases, depending upon the use
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發(fā)表于 2025-3-28 03:50:50 | 只看該作者
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發(fā)表于 2025-3-28 06:39:24 | 只看該作者
Value At Risk and Stress Testing,This chapter gives a brief overview of machine learning for streaming data by establishing the need for special algorithms suited for prediction tasks for data streams, why conventional batch learning methods are not adequate, followed by applications in various business domains.
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發(fā)表于 2025-3-28 11:06:26 | 只看該作者
Mardiana Idayu Ahmad,Saffa RiffatUser response prediction is the bread and butter of an ecommerce site. Every ecommerce site which is popular is running a response prediction engine behind the scenes to improve user engagement and to minimize the number of hops or queries that a user must fire in order to reach the destination item page which best matches the user’s query.
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