TensorFlow 2.0 Pocket Primer by Oswald Campesato

Author:Oswald Campesato [Campesato, Oswald]
Language: eng
Format: epub, mobi, pdf
Tags: Cover
ISBN: 9781683924609
Publisher: David Pallai
Published: 2019-08-28T20:30:00+00:00

What Is Multivariate Analysis?

Multivariate analysis generalizes the equation of a line in the Euclidean plane to higher dimensions, and it’s called a hyper plane instead of a line. The generalized equation has the following form:

y = w1*x1 + w2*x2 + . . . + wn*xn + b

In the case of 2D linear regression, you only need to find the value of the slope (m) and the y-intercept (b), whereas in multivariate analysis you need to find the values for w1, w2, . . ., wn. Note that multivariate analysis is a term from statistics, and in machine learning it’s often referred to as “generalized linear regression.”

Keep in mind that most of the code samples in this book that pertain to linear regression involve 2D points in the Euclidean plane.

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