Machine Learning Systems: Designs that scale by Jeff Smith

Author:Jeff Smith
Language: eng
Format: mobi, epub
Publisher: Manning Publications
Published: 2018-06-01T08:35:57.603000+00:00

What’s your favorite food?

Do you like to go out or are you more of a cave-body?

Do you want to have cubs someday?

In the first version of their feature-generation functionality, your team compared the answers of each pair of users to produce features saying whether or not their answers were the same. For example, if two bears both answered that their favorite food was salmon, that would be recorded as a true feature value, but if one bear preferred salmon and another preferred berries, then that would be recorded as a false feature value. This produces instances like the ones shown in table 5.1, which uses 0 for false and 1 for true.

Table 5.1. Similarity instances

Favorite food

Go out

Cubs

Match

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