Machine Learning in Elixir

Chapter 3Harness the Power of Math

In the previous chapter, you learned about the core Nx data structure, the tensor, and the array programming paradigm that Nx encourages. You also used JIT compilation and saw how Nx defn enables acceleration via pluggable backends and compilers, which make machine learning workloads practical in Elixir. Before you start writing some machine learning algorithms, you need to dig a little deeper into the mathematics, which backs modern machine learning.

In this chapter, you’ll get a baseline understanding of machine learning math and what it looks like in practice with Nx. This chapter isn’t meant to be a comprehensive study of mathematics. Rather, it’s meant to give you a better idea about the inner workings ...