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....
This post will describe UUID v1, v4, and v5, with examples. We will go through their implementation and differences, and when you should use them. Having a unique identifier is an important requirement in many applications today. The “Universally unique identifier”, or UUID, was designed to provide a consistent format for any unique ID we use for our data. UUIDs address the problem of generating a unique ID - either randomly, or using some data as a seed....
