Unsupervised Learning: Introduction

Loading...
Просмотреть программу курса

Получаемые навыки

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

Рецензии

4.9 (оценок: 117,311)
  • 5 stars
    108,634 ratings
  • 4 stars
    7,998 ratings
  • 3 stars
    504 ratings
  • 2 stars
    85 ratings
  • 1 star
    90 ratings
AA

Nov 11, 2017

Great teaching style , Presentation is lucid, Assignments are at right difficulty level for the beginners to get an under the hood understanding without getting bogged down by the superfluous details.

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!!!!!

Из урока
Unsupervised Learning
We use unsupervised learning to build models that help us understand our data better. We discuss the k-Means algorithm for clustering that enable us to learn groupings of unlabeled data points.

Преподаватели

  • 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

Ознакомьтесь с нашим каталогом

Присоединяйтесь бесплатно и получайте персонализированные рекомендации, обновления и предложения.