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Machine Learning in Action by Peter Harrington

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Chapter 14. Simplifying data with the singular value decomposition

 

This chapter covers
  • The singular value decomposition matrix factorization
  • Recommendation engines
  • Using the singular value decomposition to improve recommendation engines

 

Restaurants get rolled into a handful of categories: American, Chinese, Japanese, steak house, vegan, and so on. Have you ever thought that these categories weren’t enough? Perhaps you like a hybrid of these categories or a subcategory like Chinese vegetarian. How can we find out how many categories there are? Maybe we could ask some human experts? What if one expert tells us we should divide the restaurants by sauces, and another expert tells us we should divide restaurants by the ingredients? Instead ...

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