A Review of Optimization and Machine Learning
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Before we dive into the models and components of deep learning in depth, it’s important to address the broader field it fits into, which is machine learning. But before that, I want to discuss, if only briefly, optimization. Optimization refers to the selection of a best element from some set of available alternatives. The objective of most machine learning algorithms is to find the optimal solution given a function with some set of inputs. As already mentioned, this often comes within the concept of a supervised learning problem or an unsupervised learning problem, though the procedures are roughly the same.