Linear Regression Cost function in Machine Learning is "error" representation between actual value and model predictions. To minimize the error, we need to minimize the Linear Regression Cost ...

Predicting car prices using multiple linear regression. This project uses real-world automotive data to train a machine learning model capable of estimating car prices based on technical ...

Interest expense is the cost incurred by borrowing funds, typically noted on income statements. Reducing interest expenses can enhance a company’s net income and financial health. Investors ...

Abstract: Various canonical piecewise linear (CPWL) function-based models have been widely used for modeling radio frequency (RF) power amplifiers (PAs). In most literatures, the thresholds of CPWL ...

Abstract: A solution is derived to the problems of H/sub infinity /-optimal linear state regulation and filtering. The solution method for both problems is based on a transfer function approach which ...

1 Key Laboratory of Soybean Molecular Design Breeding, Northeast Institute of Geography and Agroecology, The Innovative Academy of Seed Design, Chinese Academy of Sciences, Changchun, China 2 ...

Starting from the hyperbolic bioheat equation, which includes the parabolic one as a special case, the linear method is incorporated into the standard ExGA time marching scheme. The numerical Green's ...

The app uses a trained regression model to analyze key hardware and software features and outputs a reliable price estimate. This project demonstrates end-to-end ML deployment, from data preprocessing ...