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Showing posts from October, 2019
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Support Vector Machines Tutorial — Learn to implement SVM in Python A few days ago, I was a little bit confuse about, how my Google Photos find-out the number of faces in my library and cluster them one by one in each cluster by faces. Then I came to know about   the  Support Vector Machine  algorithm of Machine Learning it makes a boundary between different faces and by K-Means Clustering it all makes different Clusters at a time. Still, Confuse ?? Read the text below: Introduction to Support Vector Machines SVMs are the most popular algorithm for classification in  machine learning algorithms . Their mathematical background is quintessential in building the foundational block for the geometrical distinction between the two classes. We will see how Support vector machines work by observing their implementation in Python and finally, we will look at some of the important applications. Introduction to SVM What is SVM? Support Vector Machines are a type of su