Kernels I

Loading...
Ver programa

Destrezas que aprenderás

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

Revisiones

4.9 (119,600 calificaciones)
  • 5 stars
    110,748 ratings
  • 4 stars
    8,159 ratings
  • 3 stars
    515 ratings
  • 2 stars
    87 ratings
  • 1 star
    91 ratings
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

MN

Jun 15, 2016

Excellent starting course on machine learning. Beats any of the so called programming books on ML. Highly recommend this as a starting point for anyone wishing to be a ML programmer or data scientist.

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.