Inverse and Transpose

Loading...
斯坦福大学
4.9(111,641 个评分) | 2.5M 名学生已注册
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(111,641 个评分)
  • 5 stars
    103,429 ratings
  • 4 stars
    7,569 ratings
  • 3 stars
    474 ratings
  • 2 stars
    83 ratings
  • 1 star
    86 ratings
RD

Mar 31, 2018

Perhaps the greatest instructor and the greatest course, I enjoyed it so much I had continued to do it in between my exams and looking forward fto start or deeplearning,ai specialization in a few days

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.

从本节课中
Linear Algebra Review
This optional module provides a refresher on linear algebra concepts. Basic understanding of linear algebra is necessary for the rest of the course, especially as we begin to cover models with multiple variables.

教学方

  • 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

探索我们的目录

免费加入并获得个性化推荐、更新和优惠。