Springer Texts in Statistics Ser.: Introduction to Statistical Learning :…

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Introduction to Statistical Learning: With Applications in R is a comprehensive textbook exploring topics in computers, mathematics, and statistical software. Published by Springer New York in 2017, this book offers a detailed introduction to statistical learning methods with a focus on R programming. Written by authors Trevor Hastie, Gareth James, Robert Tibshirani, and Daniela Witten, this hardcover textbook is a valuable resource for students and professionals interested in mathematical and statistical software, probability and statistics, and artificial intelligence and semantics. With 426 pages and a series of informative examples and exercises, this textbook provides a thorough introduction to the field of statistical learning.

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Microwave Cooking and Processing: Engineering Fundamentals by Charles R. Buffler

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Published in 1993 by Springer, this hardcover book is a valuable resource for students and professionals in the field of process engineering. With a focus on microwave heating, this book delves into the physical and chemical changes that occur during microwave processing, as well as the design and optimization of microwave systems.

Continuar lendoMicrowave Cooking and Processing: Engineering Fundamentals by Charles R. Buffler