July 2018
Beginner to intermediate
406 pages
9h 55m
English
book
Building Machine Learning Systems with Python - Third Edition
by Luis Pedro Coelho, Willi Richert, Matthieu Brucher
Content preview from Building Machine Learning Systems with Python - Third Edition
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Summary
Classification means generalizing from examples to build a model that assigns objects to a predefined class (that is, a rule that can automatically be applied to new, unclassified objects). It is one of the fundamental tools in machine learning and we will look at many more examples of this in the forthcoming chapters.
In a way, this was a very abstract and theoretical chapter, as we introduced generic concepts with simple examples. We went over a few operations with the Iris dataset. This is a small dataset. However, it has the advantage that we were able to plot all the data and see what we were doing in detail. This is something that will be lost when we move on to problems with many dimensions and many thousands of examples. The ...
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