Wrapping Up
In this chapter, you learned what machine learning is, what kind of problems it can solve, and how to do some basic machine learning with Elixir and Nx. You have got a feel for some of the libraries in the Elixir Nx ecosystem such as Axon, Explorer, Kino, and Nx itself, and you have seen how you can integrate a machine learning model into Elixir applications. You learned about some of the important things to consider when approaching a problem with machine learning including defining problems in terms of a task, performance measure, and experience, using a SMART framework to define your tasks, differentiating between classification and regression problems, and the importance of obtaining good data.
Your implementations made use of ...
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