Julie Barber, Simon Thompson, Multiple regression of cost data: use of generalised linear models, Journal of Health Services Research & Policy, Vol. 9, No. 4 (October 2004), pp. 197-204 ...

Gradient descent is an optimization algorithm for machine learning used to identify the values of the coefficients (parameters) of a function that will minimize a cost function. Linear regression ...

A. A. Walters, Expectations and the Regression Fallacy In Estimating Cost Functions, The Review of Economics and Statistics, Vol. 42, No. 2 (May, 1960), pp. 210-215 ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using JavaScript. Linear regression is the simplest machine learning technique to predict a single numeric value, ...

Confused about cost functions in neural networks? In this video, we break down what cost functions are, why they matter, and which types are best for different applications—from classification ...

Cost Management, Lifecycle Costs, Sustainability, Construction Projects Share and Cite: Kongere, R. , Lucas, S. and Nyakwara, S. (2025) Effect of Sustainable Procurement Practices on Performance of ...

Parametric versus Semi/nonparametric Regression Models Course Topics Linear models, generalized linear models, and nonlinear models are examples of parametric regression models because we know the ...