Optimization Objective

Loading...
Visualiser le programme de cours

Compétences que vous apprendrez

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

Avis

4.9 (135,839 évaluations)
  • 5 stars
    93%
  • 4 stars
    7%
  • 3 stars
    0%
  • 2 stars
    0%
  • 1 star
    0%
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.

SK

Oct 26, 2017

Amazing course for people looking to understand few important aspects of machine learning in terms of linear algebra and how the algorithms work! Definitely will help me in my future modelling efforts

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.