Springer

An Introduction to Materials Informatics: The Elements of Machine Learning

Name: An Introduction to Materials Informatics: The Elements of Machine Learning
Brand: Springer
SKU: 37765ad2c83f565879b150fb3c905f67

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63,99

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	68,49 63,99	Naar shop
	74,89	Naar shop
	74,89	Naar shop
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Beschrijving

Bol This textbook educates current and future materials workers, engineers, and researchers on Materials Informatics. 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. 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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€ 68,49 € 63,99 Gratis verzending

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Beschrijving (1)

This textbook educates current and future materials workers, engineers, and researchers on Materials Informatics. 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. 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.

Lees meer