March 2019
Intermediate to advanced
196 pages
4h 50m
English
Content preview from TensorFlow 2.0 Quick Start Guide
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Linear regression
A linear regression problem is one where you have to predict the value of one continuous variable, given the value of one or more other variables (data points); for example, predicting the selling price of a house, given its floor space. You can plot the known features with their associated labels on a simple linear graph in these examples, as in the familiar x, y scatter plots, and plot a line that best fits the data. This is known as a line of best fit. You can then read off the label corresponding to any value of your feature that lies within the x range of the plot.
However, linear regression problems may involve several features in which the terminology multiple or multivariate linear regression is used. In this case, it ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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