天真无邪
发表于 2025-3-21 17:52:03
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OGLE
发表于 2025-3-21 23:15:34
oduces DL and an artificial neural network known as the Multilayer Perceptron (MLP) classifier. A way of performing cluster analysis using the K-Means model is covered. Dimension reduction techniques such as Pr978-1-4842-7761-4978-1-4842-7762-1
Nonthreatening
发表于 2025-3-22 01:57:06
and scaling them.Bridges the gap between machine and deep lApply supervised and unsupervised learning to solve practical and real-world big data problems. This book teaches you how to engineer features, optimize hyperparameters, train and test models, develop pipelines, and automate the machine lea
破译密码
发表于 2025-3-22 05:08:26
Leszek J. Chmielewski,Arkadiusz Orłowskiected, manipulated, and examined using resilient and fault-tolerant technologies. It discusses the Scikit-Learn, Spark MLlib, and XGBoost frameworks. It also covers a deep learning framework called Keras. It concludes by discussing effective ways of setting up and managing these frameworks.
B-cell
发表于 2025-3-22 09:45:16
Big Data, Machine Learning, and Deep Learning Frameworks,ected, manipulated, and examined using resilient and fault-tolerant technologies. It discusses the Scikit-Learn, Spark MLlib, and XGBoost frameworks. It also covers a deep learning framework called Keras. It concludes by discussing effective ways of setting up and managing these frameworks.
姑姑在炫耀
发表于 2025-3-22 16:39:02
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姑姑在炫耀
发表于 2025-3-22 19:25:10
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Control-Group
发表于 2025-3-22 22:28:02
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eczema
发表于 2025-3-23 04:13:18
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小淡水鱼
发表于 2025-3-23 06:10:29
https://doi.org/10.1007/978-3-031-00978-5This introductory chapter explains the ordinary least-squares method and executes it with the main Python frameworks (i.e., Scikit-Learn, Spark MLlib, and H2O). It begins by explaining the underlying concept behind the method.