Herman Jaramillo,Andreas Ruger
Machine Learning for Science and Engineering: Volume I: Fundamentals
Machine Learning for Science and Engineering: Volume I: Fundamentals
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- More about Machine Learning for Science and Engineering: Volume I: Fundamentals
Format: Paperback / softback
Length: 408 pages
Publication date: 01 May 2023
Publisher: Society of Exploration Geophysicists
Teaches the underlying mathematics, terminology, and programmatic skills to implement, test, and apply machine learning (ML) to real-world problems. The books builds the mathematical pillars required to comprehend and master modern ML concepts and translates the newly gained mathematical understanding into better applied data science.
Weight: 1146g
Dimension: 280 x 217 x 17 (mm)
ISBN-13: 9781560803881
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