Supervised learning is a machine learning technique where the algorithm is trained on a dataset with both input features (independent variables) and corresponding output labels (dependent variables).

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the gradient boosting regression technique, where the goal is to predict a single numeric value. Compared to ...

Data-driven optimization of pricing strategies on microservice platforms using web scraping and classical machine learning to predict service prices on khamsat.com ...

This paper contributes a gradient descent-based adaptive control method for uncertain dynamical systems. This method offers an alternative approach for the time-varying command following problem by ...