Overall, machine learning systems can be thought of as a machine learning core — usually an advanced algorithm which requires a few chapters from Ian’s book to understand — surrounded by a huge amount of software engineering. The engineering can be shuffling around data, providing wrappers around inputs and outputs, or scheduling distributed code, all of which interface with the core as a black box.

Paul Asselin
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