August 2019
Intermediate to advanced
342 pages
9h 35m
English
While it is true that, in order to make correct predictions (which, in turn, are nothing more than generalizations starting from sample data), the data alone is not enough; you need to combine the data with algorithms (which, in turn, are nothing more than data representations). In practice, however, we are often faced with a dilemma when improving our predictions: should we design a better algorithm, or do we just need to collect more data? The answer to this question has not always been the same over time, since, when research in the field of AI began, the emphasis was on the quality of the algorithms, since the availability of data was dictated by the cost of storage.
With the reduction in costs associated ...
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