Python: Deeper Insights into Machine Learning

Summary

So far, we have introduced a broad cross-section of machine learning problems, techniques, and concepts. Hopefully by now, you have an idea of how to begin tackling a new and unique problem by breaking it up into its components. We have reviewed some of the essential mathematics and explored ways to visualize our designs. We can see that the same problem can have many different representations, and that each one may highlight different aspects. Before we can begin modeling, we need a well-defined objective, phrased as a specific, feasible, and meaningful question. We need to be clear how we can phrase the question in a way that a machine can understand.

The design process, although consisting of different and distinct activities, is not ...