In this section, we will take a closer look at the main concepts of TensorFlow and TensorBoard and try to do some basic operations to get you started. The model we want to implement simulates linear regression.

In statistics and ML, linear regression is a technique that's frequently used to measure the relationship between variables. This is a quite simple but effective algorithm that can be used in predictive modeling as well.

Linear regression models the relationship between a dependent variable, , an interdependent variable,

, and a random term, *b*. This can be seen as follows:

A typical linear regression problem using ...

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