Mathematics Behind Large Margin Classification

Loading...
Ver programa

Destrezas que aprenderás

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

Revisiones

4.9 (117,672 calificaciones)
  • 5 stars
    108,974 ratings
  • 4 stars
    8,015 ratings
  • 3 stars
    508 ratings
  • 2 stars
    85 ratings
  • 1 star
    90 ratings
EJ

Mar 27, 2018

Very well structured and delivered course. Progressive introduction of concepts and intuitive description by Andrew really give a sense of understanding even for the more complex area of the training.

CS

Jul 16, 2019

The course will give you the incites to understand the data driven mathematical functions to write softwares that can behave or change its behavior, based on stimulus (data).\n\nAndrew Ng is excellent

De la lección
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.

Impartido por:

  • 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

Explora nuestro catálogo

Inscríbete de manera gratuita y obtén recomendaciones personalizadas, actualizaciones y ofertas.