A tutorial for MNIST – Digit Recognition Using scikit learn

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 →

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An Introduction To Machine Learning

Machine Learning is a kind of buzz words these days; sort of a mysterious new guy in the class whom everyone wants to be friend with. On the onset, I would like to think Machine Learning as a part of tool kit of every Software Engineer. And conceptually it's not different from the Mathematics, Algorithm,... Continue Reading →

Entropy In Machine Learning

Entropy is a measure of randomness. In other words, its a measure of unpredictability. Let's take an example of a coin toss. Suppose we tossed a coin 4 times, and the output of the events came as {Head, Tail, Tail, Head}. Based solely on this observation, if you have to guess what will be the... Continue Reading →

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