September 2017
Beginner to intermediate
304 pages
7h 2m
English
Content preview from Machine Learning With Go
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Distributions
A distribution is a representation of how often values appear within a dataset. Let's say, for instance, that one thing you are tracking as a data scientist is the daily sales of a certain product or service, and you have a long list (which you could represent as a vector or part of a matrix) of these daily sales numbers. These sales numbers are part of our dataset, and they include one day with sales of $121, another day with sales of $207, and so on.
There will be one sales number that is the lowest out of the one we have accumulated. There will also be one sales number that is the highest out of the one we have accumulated, and the rest of the sales numbers that are somewhere in between (at least if we assume no exact duplicates). ...
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