Orthogonalization

Loading...
查看授课大纲

您将学习的技能

Machine Learning, Deep Learning, Inductive Transfer, Multi-Task Learning

审阅

4.8(33,393 个评分)
  • 5 stars
    27,506 ratings
  • 4 stars
    4,657 ratings
  • 3 stars
    1,027 ratings
  • 2 stars
    160 ratings
  • 1 star
    43 ratings
DC

Mar 08, 2018

Going beyond the technical details, this part of the course goes into the high level view on how to direct your efforts in a ML project. Really enjoyable and useful. Thanks for making this available!

YL

Nov 29, 2017

It's a great course! This course gave me a lot of new perspectives in constructing a machine learning project. Especially, the discussion of data distribution in the train/dev/test set is fantastic.

从本节课中
ML Strategy (1)

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
  • Teaching Assistant - Younes Bensouda Mourri

    Teaching Assistant - Younes Bensouda Mourri

    Mathematical & Computational Sciences, Stanford University, deeplearning.ai
  • Head Teaching Assistant - Kian Katanforoosh

    Head Teaching Assistant - Kian Katanforoosh

    Lecturer of Computer Science at Stanford University, deeplearning.ai, Ecole CentraleSupelec

探索我们的目录

免费加入并获得个性化推荐、更新和优惠。