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Titlebook: Materials Data Science; Introduction to Data Stefan Sandfeld Textbook 2024 The Materials Research Society 2024 Data mining.data science.dat

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樓主: 大破壞
21#
發(fā)表于 2025-3-25 07:04:32 | 只看該作者
From Data Science to Materials Data Sciencemathematics, data visualization, machine learning and artificial intelligence, and computer science and programming. Domain knowledge plays a special role: it is a great source for interesting datasets and problems, which, on the other hand, can also benefit greatly from data analysis. In this chapt
22#
發(fā)表于 2025-3-25 07:57:17 | 只看該作者
23#
發(fā)表于 2025-3-25 12:49:13 | 只看該作者
Materials Science Datasets and Data Generationgy for generating artificial datasets that have a clear materials science context, thus defining a set of materials science benchmark datasets that are used throughout this text. In addition, this chapter gives recommendations on how to obtain further datasets for machine learning, e.g., from some o
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發(fā)表于 2025-3-25 18:07:56 | 只看該作者
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發(fā)表于 2025-3-25 20:16:31 | 只看該作者
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發(fā)表于 2025-3-26 02:24:17 | 只看該作者
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發(fā)表于 2025-3-26 07:08:01 | 只看該作者
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發(fā)表于 2025-3-26 11:04:05 | 只看該作者
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發(fā)表于 2025-3-26 15:52:29 | 只看該作者
30#
發(fā)表于 2025-3-26 17:01:32 | 只看該作者
A First Approach to Machine Learning with Linear Regressionder the numerical relationship between the . (or .) and the . (or .). In this chapter we introduce machine learning regression analysis with the goal, to use it for inferring the functional relation between features and target variables, helping us to understand important aspects of the data. As a p
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