Software engineering, AI systems and technical paper reviews.
How I predicted California house prices with linear regression trained by gradient descent (SGDRegressor) — mutual-information feature selection, a scaling gotcha that breaks SGD, and an honest benchmark against KNN, a decision tree, and WEKA.
What is multivariate (multiple) linear regression? Learn how this ML algorithm fits a hyperplane with one weight per feature plus a bias to predict values from many inputs.
What is univariate linear regression? Learn how this machine learning algorithm uses weights and bias to fit a line and predict values from one feature.
I write about the backend×AI wedge — wins and failures included. Follow along, or say hi.