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Titlebook: Distributed Machine Learning with PySpark; Migrating Effortless Abdelaziz Testas Book 2023 Abdelaziz Testas 2023 Python.Scalable machine le

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31#
發(fā)表于 2025-3-26 22:00:12 | 只看該作者
Pipelines with Scikit-Learn and PySpark,an automate and standardize the steps involved in the modeling workflow. This enables the building of robust and scalable models, enhances model interpretability, and facilitates the integration of additional preprocessing steps and feature engineering techniques.
32#
發(fā)表于 2025-3-27 04:43:49 | 只看該作者
33#
發(fā)表于 2025-3-27 05:38:51 | 只看該作者
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發(fā)表于 2025-3-27 10:45:34 | 只看該作者
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發(fā)表于 2025-3-27 14:14:05 | 只看該作者
36#
發(fā)表于 2025-3-27 19:53:31 | 只看該作者
The British Commonwealth of Nationsl advantages, making them versatile for a wide range of tasks, from regression to classification spanning across various domains such as image recognition, natural language processing, and speech recognition, to name a few.
37#
發(fā)表于 2025-3-28 01:28:25 | 只看該作者
https://doi.org/10.1057/9780230270749 learning is known as natural language processing (NLP), which finds uses in many business applications including speech recognition, chatbots, language translation, and email spam detection (ham or spam).
38#
發(fā)表于 2025-3-28 03:10:08 | 只看該作者
39#
發(fā)表于 2025-3-28 09:53:53 | 只看該作者
40#
發(fā)表于 2025-3-28 11:12:13 | 只看該作者
https://doi.org/10.1007/978-1-4842-9751-3Python; Scalable machine learning; Large-Scale machine learning; Machine Learning; PySpark; Scikit-learn;
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