Materials Data Science

Materials Data Science

Introduction to Data Mining, Machine Learning, and Data-Driven Predictions for Materials Science and Engineering

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  • Release Date: 09/05/2024
  • Barcode: 9783031465642
  • Genre: Computing & Internet
  • Imprint: Springer International
  • Publisher: Springer

Materials Data Science

2024 ed.

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DESCRIPTION

Introduction to Data Mining, Machine Learning, and Data-Driven Predictions for Materials Science and Engineering

This text covers all of the data science, machine learning, and deep learning topics relevant to materials science and engineering, accompanied by numerous examples and applications. The section on unsupervised learning emphasizes principal component analysis, and also covers manifold learning (t-SNE and UMAP) and clustering techniques.



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