TensorFlow: Powerful Predictive Analytics with TensorFlow

Getting Started with TensorFlow – Linear Regression and Beyond

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

In the statistics and machine learning realm, linear regression is a technique frequently used to measure the relationship between variables. This is also a quite simple but effective algorithm that can be used in predictive modeling too. Linear regression models the relationship between a dependent variable yi, an interdependent variable xi, and a random term b. This can be seen as follows:

Now to conceptualize the preceding equation, I am going to write a simple Python program ...