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In the second installment of my series on machine learning and Go, I am going to dive into some more complicated topics of machine learning. In this article I'm going to cover multivariate linear regression and mean normalization. I am also going to cover how the Go command line tool I've built can do hyperparameter tuning and some concepts behind it.
I recently completed Andrew Ng's fantastic ML course on Coursera. So I decided to take a stab at implementing some things I learned using Go. I built a simple command line tool that performs linear regression.