Machine Learning for Semiconductor Materials
Book Details
Format
Hardback
Book Series
Emerging Materials and Technologies
ISBN-10
103279688X
ISBN-13
9781032796888
Publisher
Taylor & Francis Ltd
Imprint
CRC Press
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Aug 21st, 2025
Print length
208 Pages
Weight
580 grams
KSh 26,300.00
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Machine Learning for Semiconductor Materials studies recent techniques and methods of machine learning to mitigate the use of Technology Computer Aided Design (TCAD). It provides the various algorithms of machine learning such as regression, decision tree, support vector machine and k-means clustering and so forth.
Machine Learning for Semiconductor Materials studies recent techniques and methods of machine learning to mitigate the use of Technology Computer Aided Design (TCAD). It provides the various algorithms of machine learning such as regression, decision tree, support vector machine and k-means clustering and so forth.
Get Machine Learning for Semiconductor Materials by Neeraj Gupta at the best price and quality guaranteed only at Werezi Africa's largest book ecommerce store. The book was published by Taylor & Francis Ltd and it has 208 pages.
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