Key concepts of AIML 1 - Feature and Target Variable
Abstract: This post aims to explain the very fundamental base of Machine Learning algorithm. It is aimed for professionals and business users to appreciate the reasoning behind Machine Learning - what it is and why it is supposed to work on old data and even produce fresh new data using Gen AI. The picture above tells the entire story. The Left hand side is the target variable aka y and right hand side are the feature variables x 1 , x 2 etc. It is like one variable is a outcome of another set of variable. We are used to it in basic mathematics. Like the area of a rectangle is a product of width and height. Likewise many other more complicated equations that are applied in our lifestyle. An equation like Fourier transform is embedded in our life through mobile communication. We can draw a graph of this equation when it is dependent on 1/2 or max 3 dimensions or features. Some try to represent 4th or higher dimensions using color, pattern etc. But for all practi...