Choosing the Number of Principal Components

Loading...
シラバスを表示

学習するスキル

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

レビュー

4.9 (129,054 件の評価)
  • 5 stars
    119,469 ratings
  • 4 stars
    8,824 ratings
  • 3 stars
    562 ratings
  • 2 stars
    92 ratings
  • 1 star
    107 ratings
JS

Jun 17, 2017

Everything is taught from basics, which makes this course very accessible- still requires effort, however will leave you with real confidence and understanding of subjects covered. Great teacher too..

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.

レッスンから
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.

講師

  • 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

コース一覧で検討

サインアップは無料です。今すぐサインアップして、パーソナライズされたお勧め、更新、サービスを利用しましょう。