Model Selection and Train/Validation/Test Sets

Loading...
강의 계획서 보기

배우게 될 기술

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

검토

4.9(119,841개의 평가)
  • 5 stars
    110,971 ratings
  • 4 stars
    8,177 ratings
  • 3 stars
    515 ratings
  • 2 stars
    87 ratings
  • 1 star
    91 ratings
MS

Jul 24, 2019

This course is one of the most valuable courses I have ever done. Thank you very much to the teacher and to all those who have made it possible! I will recommend it to all those who may be interested.

DW

Feb 20, 2016

Fantastic intro to the fundamentals of machine learning. If you want to take your understanding of machine learning concepts beyond "model.fit(X, Y), model.predict(X)" then this is the course for you.

수업에서
Advice for Applying Machine Learning
Applying machine learning in practice is not always straightforward. In this module, we share best practices for applying machine learning in practice, and discuss the best ways to evaluate performance of the learned models.

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.