Optimization Objective

Loading...
강의 계획서 보기

배우게 될 기술

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

검토

4.9(154,480개의 평가)
  • 5 stars
    92.45%
  • 4 stars
    6.90%
  • 3 stars
    0.45%
  • 2 stars
    0.08%
  • 1 star
    0.10%
FG
2019년 7월 20일

Exceptionally complete and outstanding summary of main learning algorithms used currently and globally in software industry. Professor with great charisma as well as patient and clear in his teaching.

MG
2020년 12월 22일

Great course. A progressive discovery of the maths inner to the learning algorithms. This course gives that insight many ML practitioners don't have and is so important for making real use cases work.

수업에서
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.

강사:

  • Placeholder

    Andrew Ng

    Instructor

Coursera 카탈로그 살펴보기

무료로 참여해 맞춤화된 추천, 업데이트 및 제안을 받아보세요.