The time-tested technique for predicting numbers, and the role of domain knowledge in machine learning.

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 ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using JavaScript. Linear regression is ...

Linear Regression: Linear regression is a widely used algorithm in machine learning. It involves selecting a key variable from the dataset to predict the output variables, such as future values.

Supervised machine learning problems are further divided into classification (predicting non-numeric answers, such as the probability of a missed mortgage payment) and regression (predicting ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of linear regression with two-way interactions between predictor variables. Compared to standard linear ...

Challenges to the credibility of Machine Learning pipeline output. How the performance of such ML models are inherently compromised due to current practices. How such problems can be cured by ...