Introduction This is again a note to myself. This code has been prepared following different tutorials and SO answers. I have tried to cover many of them in reference below. The notebook is commented to the best of my ability. Starting with 11% in first trial, the final model is able to achieve accuracy of... Continue Reading →
How do Machines Learn : Hoeffding’s Inequality, in sample and out of sample using Game of Throne Analogy
The war is almost here and people of Winterfell have to decide whom they wish to declare the king in the North. There are one million citizen in Winterfell. These one million citizens need to choose between Daenerys Targaryen and Jon Snow. But there is one man who wish to know the results before hand... Continue Reading →
Introduction to Machine Learning Terminology and Perceptron
We talked about introduction to machine learning here. Let's say, we have two armies: red and blue. The black line is the border separating these two armies. The line is curved and it is drawn using visual inspection. But the kings are mad and they demand a straight line, not a curved one. To please... Continue Reading →