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Jul 24, 2020, 2:30 am172 pts
The Next Web
Working with non-numerical data can be tough, even for experienced data scientists. A typical machine learning model expects its features to be numbers, not words, emails, website pages, lists, graphs, or probability distributions. To be useful, data has to be transformed into a vector space first. But how? One…
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