medium10 pts · first answer countsmachine-learninglinear-regression
Closed-form least squares
For ordinary least squares with design matrix X and targets y, which expression gives the weight vector that minimises squared error (assuming XᵀX is invertible)?
Discussion 0
Join free to post in the discussion.
Related questions
- Predicting a flat price in rupeesMachine Learning Engineer
- One gradient descent stepMachine Learning Engineer
- Sigmoid at zeroMachine Learning Engineer
- Logistic regression with five classesMachine Learning Engineer
- The naive part of Naive BayesMachine Learning Engineer
- Entropy of a 50/50 nodeMachine Learning Engineer
- Tree with no depth limitMachine Learning Engineer
- Prediction after one boosting roundMachine Learning Engineer