Choosing the Number of Principal Components

Loading...
Visualizar o programa do curso

Habilidades que você aprenderá

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

Avaliações

4.9 (108,076 classificações)
  • 5 stars
    100,145 ratings
  • 4 stars
    7,315 ratings
  • 3 stars
    455 ratings
  • 2 stars
    78 ratings
  • 1 star
    83 ratings
PT

Sep 01, 2018

Sub title should be corrected. Since I'm not that good in English but I know when there're mis-traslated or wrong sub title. If you fix this problems , I thin it helps many students a lot. Thanks!!!!!

OK

Apr 18, 2018

You need to know, what do you want to get out of this course. It gives you a lot of information, but be prepared to work hard with linear algeabra and make efforts to compute things in Mathlab/Octave.

Na lição
Dimensionality Reduction
In this module, we introduce Principal Components Analysis, and show how it can be used for data compression to speed up learning algorithms as well as for visualizations of complex datasets.

Ministrado 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

Explore nosso catálogo

Registre-se gratuitamente e obtenha recomendações, atualizações e ofertas personalizadas.