Advice for Applying PCA

Loading...
강의 계획서 보기

배우게 될 기술

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

검토

4.9(115,006개의 평가)
  • 5 stars
    106,507 ratings
  • 4 stars
    7,835 ratings
  • 3 stars
    493 ratings
  • 2 stars
    83 ratings
  • 1 star
    88 ratings
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

SS

May 17, 2019

This is course just awesome. You get everything you wanted from this course. It covers on all topics in detail, helps in getting confidence in learning all the techiques and ideas in machine learning.

수업에서
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.

강사:

  • 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

Coursera 카탈로그 살펴보기

무료로 참여해 맞춤화된 추천, 업데이트 및 제안을 받아보세요.