July 2017
Intermediate to advanced
360 pages
8h 26m
English
Content preview from Machine Learning Algorithms
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Linear models
Consider a dataset of real-values vectors:
Each input vector is associated with a real value yi:
A linear model is based on the assumption that it's possible to approximate the output values through a regression process based on the rule:
In other words, the strong assumption is that our dataset and all other unknown points lie on a hyperplane and the maximum error is proportional to both the training quality and the adaptability ...
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