Simple Linear Regression from scratch in Rust
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As one of the oldest and easiest Machine Learning algorithms, implementing Simple Linear Regression can be an eye-opening and rewarding experience for anyone new to Machine Learning, Deep Learning and AI.In this tutorial, we are going to implement Simple Linear Regression in Rust. To really internalize the algorithm, we won’t use any existing math or Machine Learning frameworks. The only external crate we will use is plotlib, which will allow us to visualize the results in a nice svg graphic.You can find the source code for the entire project on knowledge of the Rust programming languagebasic high school math / statistic skillsSimple Linear RegressionThe Linear Regression algorithm allows us to predict a dependent variable y based on a set of independent variables x0,x1..xn.Based on a set of existing (x, y) pairs, our goal is to create a prediction function y(x):y(x1..xn) = b0 + b1 * x1 + b2 * x2 + .. + bn * xnwhere b0 is the so called intercept (y at x==0) and b1..bn are the coeffi…

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