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Machine Learning in Action by Peter Harrington

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Chapter 13. Using principal component analysis to simplify data

 

This chapter covers
  • Dimensionality reduction techniques
  • Principal component analysis
  • Reducing the dimensionality of semiconductor data

 

Assume for a moment that you’re watching a sports match involving a ball on a flat monitor, not in person. The monitor probably contains a million pixels, and the ball is represented by, say, a thousand pixels. In most sports, we’re concerned with the position of the ball at a given time. For your brain to follow what’s going on, you need to follow the position of the ball on the playing field. You do this naturally, without even thinking about it. Behind the scene, you’re converting the million pixels on the monitor into a three-dimensional ...

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