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Latent Features - Intro to Machine Learning

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    Here's a simple example that will help you develop some intuition for
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    what you're doing when you use PCA.
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    Suppose I have the following question, given the features of a house,
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    what is the price that I would expect for it to sell for?
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    Which of the following algorithms would you use to answer this question?
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    Would you use a decision tree classifier, an SVC or a support vector classifier,
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    or does this sound like a linear regression question to you?
Title:
Latent Features - Intro to Machine Learning
Description:

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Video Language:
English
Team:
Udacity
Project:
ud120 - Intro to Machine Learning
Duration:
0:25

English subtitles

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