Kernels I

Loading...
Visualiser le programme de cours

Compétences que vous apprendrez

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

Avis

4.9 (125,338 évaluations)
  • 5 stars
    116,025 ratings
  • 4 stars
    8,577 ratings
  • 3 stars
    547 ratings
  • 2 stars
    90 ratings
  • 1 star
    99 ratings
ML

Aug 19, 2017

Very helpful and easy to learn. The quiz and programming assignments are well designed and very useful. Thank Prof. Andrew Ng and coursera and the ones who share their problems and ideas in the forum.

AD

Apr 22, 2017

Very good coverage of different supervised and unsupervised algorithms, and lots of practical insights around implementation. All the explanations provided helped to understand the concepts very well.

À partir de la leçon
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.

Enseigné par

  • 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

Explorer notre catalogue

Rejoignez-nous gratuitement et obtenez des recommendations, des mises à jour et des offres personnalisées.