Support Vector Machine Quadratic Optimizer(Primal & Dual Optimizer) (Part - 3) | NerdML
This video will help you to understand Support Vector Machine by using Quadratic Optimizer, how we can solve our problem using Primal or Dual Optimizer instead of Gradient descent. We'll have a look on Objective function with constraints. I have divided Support Vector tutorial into several parts which will cover basic intuition, mathematics used behind finding algorithm's parameters.
Below topics are explained in this video:
1). Quadratic Optimizer (00:58)
2). Why we can not use Gradient Descent? (03:04)
2). Lagrange Multiplier (04:19)
3). Dual Optimizer (07:18)
4). Mathematical formulation of Quadratic Optimizer (08:25)
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Please find the previous Video link -
Support Vector Machine Basic Intuition (Part -1) | NerdML : • Learning: How Support Vector Machines (SVM...
Support Vector Machine Mathematics Intuition (Part - 2) | NerdML : • Support Vector Machine Mathematics Intuiti...
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Prerequisites
Basic understanding of Linear Algebra, Probability, Calculus, Matrix & Python programming including pandas, numpy, scikit learn & some visualization tools.
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Due to COVID-19 lock-down, it's difficult to arrange complete setup for video preparation but I have tried my best & soon I'll use pointer device based on proper availability to make the session more user interacted.
Creator : Rahul Saini
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