Signal processing is key to embedded Machine Learning

When we hear about machine learning - whether it's about machines learning to play Go, or computers generating plausible human language - we often think about deep learning. Lots of unstructured data gets thrown in a complex neural network with billions of parameters, and after a very expensive training stage the model learns the task at hand.


This is a companion discussion topic for the original entry at https://www.edgeimpulse.com/blog/dsp-key-embedded-ml/