September 2017
Beginner to intermediate
304 pages
7h 2m
English
Content preview from Machine Learning With Go
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Summary
In this chapter, we have introduced the general principles of clustering, learned how to evaluate generated clusters, and learned how to use a Go implementation of k-means clustering. You should now be in good shape to detect grouping structure in your datasets.
Next, we will discuss the modeling of time series data, such as stock prices, sensor data, and so on.
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