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DAY 13
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機器學習與數學天天玩系列 第 13

Day 13-機器學習與數學天天玩-PCA-Transformation of Vectors in Spaces: Inner Product Part 1

/images/emoticon/emoticon28.gif We are now in the PCA journey, station 2.

  1. Statistical Introduction
    2. Transformation of Vectors in Spaces
  2. Orthogonal Projection

In the beginning course of inner product, I was quite confused with the difference between inner product and dot product. After going furhter in the course, I realize that inner product is a more general form to display how two vectors work in a space while dot product is in a Euclidean space where two vectors work out as a real number (I thought dot product is a unique form in inner product).

The property of inner product includes: symmetric, positive definite, bilinear.
I'll describe what these terms mean in the coming articles.

Have a good day. Tuesday.


上一篇
Day 12-機器學習與數學天天玩-PCA-Transformation of Vectors in Spaces: Dot Product Part 2
系列文
機器學習與數學天天玩13

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