Linear functions are fundamental building blocks in mathematics and play a key role in solving real-world problems where the rate of change remains constant. Linear functions arise in a wide range of ...

The objective of this notebook is to compare the methodologies used in linear regression: traditional statistical techniques versus machine learning optimization methods, such as gradient descent.

🔍 Project: Comparing Loss Functions for Robust Supervised Learning This project evaluates and compares multiple loss functions in the context of robust supervised learning using the California ...