Using An SVM

Loading...
斯坦福大学
4.9(124,693 個評分) | 2.7M 名學生已註冊
查看授課大綱

您將學習的技能

Logistic Regression, Artificial Neural Network, Machine Learning (ML) Algorithms, Machine Learning

審閱

4.9(124,693 個評分)
  • 5 stars
    115,423 ratings
  • 4 stars
    8,537 ratings
  • 3 stars
    544 ratings
  • 2 stars
    90 ratings
  • 1 star
    99 ratings
VB

Oct 03, 2016

Everything is great about this course. Dr. Ng dumbs is it down with the complex math involved. He explained everything clearly, slowly and softly. Now I can say I know something about Machine Learning

FG

Jul 21, 2019

Exceptionally complete and outstanding summary of main learning algorithms used currently and globally in software industry. Professor with great charisma as well as patient and clear in his teaching.

從本節課中
Support Vector Machines
Support vector machines, or SVMs, is a machine learning algorithm for classification. We introduce the idea and intuitions behind SVMs and discuss how to use it in practice.

教學方

  • Andrew Ng

    Andrew Ng

    CEO/Founder Landing AI; Co-founder, Coursera; Adjunct Professor, Stanford University; formerly Chief Scientist,Baidu and founding lead of Google Brain

探索我們的目錄

免費加入並獲得個性化推薦、更新和優惠。