Regularized Linear Regression

Loading...
查看授课大纲

您将学习的技能

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

审阅

4.9(149,776 个评分)
  • 5 stars
    92.46%
  • 4 stars
    6.90%
  • 3 stars
    0.45%
  • 2 stars
    0.07%
  • 1 star
    0.10%
PM

Jul 14, 2019

This course is amazing and covers most of the ML algorithms. I really liked that this course has emphasized math behind each technique which helps to choose the best algorithm while solving a problem.

ML

Aug 19, 2017

Very helpful and easy to learn. The quiz and programming assignments are well designed and very useful. Thank Prof. Andrew Ng and coursera and the ones who share their problems and ideas in the forum.

从本节课中
Regularization
Machine learning models need to generalize well to new examples that the model has not seen in practice. In this module, we introduce regularization, which helps prevent models from overfitting the training data.

教学方

  • Placeholder

    Andrew Ng

    CEO/Founder Landing AI; Co-founder, Coursera; Adjunct Professor, Stanford University; formerly Chief Scientist,Baidu and founding lead of Google Brain

探索我们的目录

免费加入并获得个性化推荐、更新和优惠。