May 2018
Beginner to intermediate
384 pages
10h 19m
English
Machine learning at a broad level is categorized into two types: supervised and unsupervised learning. As the name indicates, this categorization is based on the availability of the historical data or the lack thereof. In simple terms, a supervised machine learning algorithm depends on the trending data, or version of truth. This version of truth is used for generalizing the model to make predictions on the new data points.
Let's understand this concept with the following example:

Consider that the value of the ...
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