1.10 A platform for building a classifier from the ground up (general case)
As we move into an even more in-depth description of how to build a classifier from the ground up, you may be wondering why so much time is being spent on this topic. At the most expansive level, I would argue that what Shakespeare is to drama, what the symphony is to music, what Jane Austen is to characterization, what the novel is to writing, and what La Pieta is to sculpture—classifiers are to analytics. They are where art, design, and understanding of data come together. In this section, we build on the principles introduced in the previous section to describe how to build an “infinitely scalable” classifier from the ground up, with separate training and validation ...
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