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Explain Kernel Trick for SVM
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Explain Kernel Trick for SVM
A Kernel Trick is a simple method where Non-Linear data is projected onto a higher dimension space so as to make it easier to classify the data where it could be linearly divided by a plane. This is mathematically achieved by the Lagrangian formula using Lagrangian multipliers.
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I completed my bachelor's degree in computer science from the Indian Institute of Technology, Delhi. After that, I completed my master's in management from Johnson College of Business, Cornell. Currently, I am working at Amazon, Seattle, as a full-time software engineer. I am passionate about coding, sharing technical stuff, and the life experiences that help me in building a successful career. If you like my videos, please subscribe & stay tuned!
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A Kernel Trick is a simple method where Non-Linear data is projected onto a higher dimension space so as to make it easier to classify the data where it could be linearly divided by a plane. This is mathematically achieved by the Lagrangian formula using Lagrangian multipliers.
About Me:
I completed my bachelor's degree in computer science from the Indian Institute of Technology, Delhi. After that, I completed my master's in management from Johnson College of Business, Cornell. Currently, I am working at Amazon, Seattle, as a full-time software engineer. I am passionate about coding, sharing technical stuff, and the life experiences that help me in building a successful career. If you like my videos, please subscribe & stay tuned!
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