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An Introduction to Materials Informatics: The Elements of Machine Learning
Hardcover
Technology & EngineeringGeneral ComputersProbability & Statistics
ISBN13: 9789819979912
Publisher: Springer
Published: Feb 28 2025
Pages: 479
Weight: 1.91
Height: 1.06 Width: 6.14 Depth: 9.21
Language: English
This textbook educates current and future materials workers, engineers, and researchers on Materials Informatics. Volume I serves as an introduction, merging AI, ML, materials science, and engineering. It covers essential topics and algorithms in 11 chapters, including Linear Regression, Neural Networks, and more. Suitable for diverse fields like materials science, physics, and chemistry, it enables quick and easy learning of Materials Informatics for readers without prior AI and ML knowledge.
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