Focusing on the fundamentals of machine learning, this book covers broad areas of data-driven modeling, ranging from simple regression to advanced machine learning and optimization methods for applications in materials modeling and discovery. The book explains complex mathematical concepts in a lucid manner to ensure that readers from different materials domains are able to use these techniques successfully. A unique feature of this book is its hands-on aspect--each method presented herein is accompanied by a code that implements the method in open-source platforms such as Python. This book is thus aimed at graduate students, researchers, and engineers to enable the use of data-driven methods for understanding and accelerating the discovery of novel materials.
Numerical Recipes and Practical Applications
- ISBN:
- 9783031446214
- 9783031446214
- Category:
- Social research & statistics
- Format:
- Hardback
- Publication Date:
- 04-06-2024
- Language:
- English
- Publisher:
- Springer International Publishing AG
- Country of origin:
- Switzerland
- Dimensions (mm):
- 235x155mm
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