This Article gives an overview of Machine Learning as a science. It explains the various types of Machine Learning algorithms and highlights the principles of learning mechanisms and explains the types of the algorithms in a broad classification.
Overview of Machine Learning :
To understand Machine Learning, it makes sense to take a step back at the programs we use every day and try to understand how they are designed. Computers execute the programs or the software's that are written by the programmers to solve programmer’s or other’s problems. This gave rise to different algorithms for solving different problems. But along the way, there were problems that were not solvable by algorithms. One classic example is Spam filtering. …
Outlier Detection in Machine Learning using Hypothesis Testing.
In this article, I will walk you through the task of outlier detection in machine learning. An outlier is a terminology commonly used by analysts and data scientists because it requires special attention, otherwise, it can lead to totally wrong estimates.
Simply put, outlier detection is an observation that appears far away from and diverges from an overall pattern in a sample.
An outlier is an observation that is numerically distant from the rest of the data or, in a nutshell, is the value that is out of range. …