Gradient Descent in Practice I - Feature Scaling

Loading...

Compétences que vous apprendrez

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

Avis

4.9 (105,222 notes)
  • 5 stars
    97,532 ratings
  • 4 stars
    7,090 ratings
  • 3 stars
    444 ratings
  • 2 stars
    74 ratings
  • 1 star
    82 ratings
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.

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!!!!!

À partir de la leçon
Linear Regression with Multiple Variables
What if your input has more than one value? In this module, we show how linear regression can be extended to accommodate multiple input features. We also discuss best practices for implementing linear regression.

Enseigné par

  • 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

Explorer notre catalogue

Rejoignez-nous gratuitement et obtenez des recommendations, des mises à jour et des offres personnalisées.