Articles
Anatomy of Support Vector Machines : Hard margin and Dual formulation
on 06 Jan 2021 by ramsane
Support Vector machines are one of the most intriguing concept in whole of machine learning. When I was learning about it, I had so many questions and the content on the internet is either incomplete or incorrect. In this series of articles, I tried to answer all the questions that comes to our mind and those that will help you understand the concept better.
Cross Entropy : An intuitive explanation with Entropy and KL-Divergence
on 01 Jun 2020 by Ramana Reddy Sane
Cross-Entropy is something that you see over and over in machine learning and deep learning. This article explains it from Information theory prespective and try to connect the dots. KL-Divergence is also very important and is used in Decision Trees and generative models like Variational Auto Encoders.
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