This project-based introductory textbook covers the foundations of intelligent systems, machine learning, and control. Marco P. Schoen provides introductions to core topics in fuzzy logic, neural ...

What is regularization in machine learning? Regularization in machine learning is a set of techniques used to ensure that a machine learning model can generalize to new data within the same data set.

Machine learning and data modeling are some heady topics. Thankfully, forward-thinking developers have been creating environments tailored to making these data-driven, not-for-the-meek disciplines a ...