Books

Computational and Inferential Thinking: The Foundations of Data Science

The Computational and Inferential Thinking (CIT) book is provided here as a resource for those who need a more gentle introduction to AI. This book begins by covering basic…

Peter Cruz Parrilla

Interpretable Machine Learning

Interpretability

Interpretable Machine Learning (IML) provides a concise and substantially deep breakdown of many classic machine learning models that serve as the foundation for most…

Peter Cruz Parrilla

Introduction to Statistical Learning

Statistical learning

Unsupervised Learning

An Introduction to Statistical Learning (ISL) is a foundational book for anyone interested in statistical learning and its applications in data analysis. Authored by Gareth…

Understanding Deep Learning

Nowadays, nearly anyone can implement a deep learning model in a just a few lines of code. What separates the novices from the experts, however, is the ability to understand…