May 2018
Intermediate to advanced
576 pages
14h 42m
English
Content preview from Mastering Machine Learning Algorithms
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Loss and cost functions
At the beginning of this chapter, we discussed the concept of generic target function so as to optimize in order to solve a machine learning problem. More formally, in a supervised scenario, where we have finite datasets X and Y:
We can define the generic loss function for a single sample as:
J is a function of the whole parameter set, and must be proportional to the error between the true label and the predicted. Another ...
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