Bayes and Naive Bayes are very important techniques in machine learning. I am going to cover the Naive Bayes Classifier which is widley used in machine learning, but before that I will explain in this post the Bayes’ theorm by examples
Bayes and Naive Bayes are very important techniques in machine learning. I am going to cover and dig into Naive Bayes in machine learning, and practice that using Python to detect email span. I am going to split this into many posts, because I am going to cover theory and practice.
Python libraries SciPy and Pandas already have off-the-shelf tools to calculate descriptive statistics, but behind the scene they are calling Numpy functionalities.
This post just to learn more Numpy, and its great arsenal of dealing with data.
One of the pillars of Data Science is the correlation. This post is to describe the correlation and the terms related to it, and how it is essential for the data science.
As a developer who delat with the cloud, either to create a virtual machine, or to deploy a website that connect to a database, then most probabely you had to deal even in short with a private network.
And most of us developers don’t know a lot about networking, because it is either the job of dev-ops or system administrator. But on the cloud you find that you have to take some decisions related to the networking.
This post is an introduction for developers who know very little about the cloud, and will cover enough information to help you understand how to take better decisions.