This Video on Support Vector Machine will introduce you to Support Vector Machine and all the Machine Learning aspects that concern this topic. Support Vector Machine (the “road machine”) is responsible for finding the decision boundary to separate different classes and maximize the margin. Margins are the (perpendicular) distances between the line and those dots closest to the line.
In this session there will be two hour brief on SVM with a detailed practical implementation. Here you will explore the fundamentals of Machine Learning and understand how the above algorithm is implemented. This topic is very crucial in your journey to learning Machine Learning and Data Science. This also act as great booster for your CV and lay foundation to your career in Data Science and Machine Learning Domain. Following pointers will be covered in this session,

  • 00:00:00 Introduction
  • 00:00:45 What Is Support Vector Machine?
  • 00:46:32 Pros and Cons Of SVM
  • 00:50:00 Implementation Of SVM

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Support Vector Machine Explained | SVM Machine Learning Tutorial
3.10 GEEK