Linear regression is the process of fitting a linear equation to a set of sample data, in order to predict the output. In order to do this, we assume that the input X, and the output Y have a linear relationship. X and Y may or may not have a linear relationship. We just want to find the closest linear relationship between them, in order to explain the data that we observe....
Tensorflow is a machine learning library released by Google, which is now one of the most popular machine learning libraries currently in use. While the name “Tensorflow” might seem intimidating, it’s actually a really neat library that can be used for many things outside of machine learning as well. In fact, there will be no further mention of machine learning in this post, since we are only going to learn about the basics of the Tensorflow library....