Interpreting VC Dimension

Loading...
查看授课大纲

您将学习的技能

Decision Stump, Perceptron, Machine Learning, Vc Dimension

审阅

4.9(670 个评分)
  • 5 stars
    621 ratings
  • 4 stars
    42 ratings
  • 3 stars
    5 ratings
  • 1 star
    2 ratings
ZZ

Sep 15, 2019

Though I know many machine algorithms, but I've never thought about WHY machine can learn. This course let me know (to some extent) the fundamental issue.

MC

Feb 19, 2018

The speaker explains the ML in very clear and easier to understand way. I believe everyone can understand if he/she follow the course.

从本节课中
第七講: The VC Dimension
learning happens if there is finite model complexity (called VC dimension), enough data, and low training error

教学方

  • 林軒田

    林軒田

    教授 (Professor)

探索我们的目录

免费加入并获得个性化推荐、更新和优惠。