August 2019
Intermediate to advanced
342 pages
9h 35m
English
The emphasis given to the relevance of data often resonates in the motto that states let the data speak for itself. In reality, data is almost never able to speak for itself, and when it does, it usually deceives us. The raw data is nothing more than fragments of information that behave like pieces of a puzzle where we do not (yet) know the bigger picture.
To make sense of the raw data, we therefore need models that help us to distinguish the necessary pieces (the signal) from the useless pieces (the noise), in addition to identifying the missing pieces to complete our puzzle.
The models, in the case of AI, take the form of mathematical relations between features, through which we are able to show the different ...
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