February 2017
Intermediate to advanced
370 pages
8h 11m
English
Content preview from TensorFlow Machine Learning CookbookBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Using an Address Matching Example
Now that we have measured numerical and text distances, we will spend time learning how to combine them to measure distances between observations that have both text and numerical features.
Getting ready
Nearest neighbor is a great algorithm to use for address matching. Address matching is a type of record matching in which we have addresses in multiple datasets and we would like to match them up. In address matching, we may have typos in the address, different cities, or different zip codes, but they may all refer to the same address. Using the nearest neighbor algorithm across the numerical and character components of an address may help us identify addresses that are actually the same.
In this example, we will ...
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