SVM Regression, prediction and losses

提供方
在此指導項目中,您將:
2 Hours
中級
無需下載
分屏視頻
英語(English)
僅限桌面

In this 1-hour long project-based course, you will learn how to Train SVM regression model- with large & small margin, second degree polynomial kernel, make prediction using Linear SVM classifier; how a small weight vector results in a large margin? and finally pictorial representation for Hinge loss. This project gives you easy access to the invaluable learning techniques used by experts in machine learning. Using these approaches, no matter what your skill levels in topics you would like to master, you can change your thinking and change your understanding to thoroughness in machine learning.

您要培養的技能

  • Machine Learning

  • Algorithms

  • regression

  • Modeling

  • SVM

分步進行學習

在與您的工作區一起在分屏中播放的視頻中,您的授課教師將指導您完成每個步驟:

指導項目工作原理

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