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Introduction to Tensorflow Package Read chapter Read first chapter

2021 | OriginalPaper | Chapter

Regression

Authors : Kolla Bhanu Prakash, Adarsha Ruwali, G. R. Kanagachidambaresan

Published in: Programming with TensorFlow

Publisher: Springer International Publishing

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Abstract

Regression is a procedure to (Paige and Saunders, ACM Trans Math Soft 8:43–71, 1982; Abramowitz and Stegun, Handbook of mathematical functions. In National bureau of standards series, vol. 55, Dover Publications, USA, 1964) induce the statistical correlation among two or more variables where a change in a dependent variable is linked with and relies on a change in 1 or more (Hocking, Methods and applications of linear models. In Wiley series in probability and statistics, Wiley-Interscience, New York, 1996) independent variables. Coefficients describe these changes.

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Metadata
Title
Regression
Authors
Kolla Bhanu Prakash
Adarsha Ruwali
G. R. Kanagachidambaresan
Copyright Year
2021
Book
Programming with TensorFlow

Print ISBN: 978-3-030-57076-7

Electronic ISBN: 978-3-030-57077-4

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-3-030-57077-4_4