Machine Learning Foundations: Build Practical Models Without a Math or Code Background

Juan Gonzalez is a machine learning educator and practitioner who has spent over a decade helping non-technical professionals build practical skills with data. After earning his graduate degree in information science, he worked as a data analyst at a major healthcare organization, where he saw firsthand how much good work never happens because the people who understand the problems don't have access to the tools that solve them.

He founded a data training practice that has delivered workshops to thousands of professionals across industries including healthcare, finance, retail, and nonprofit sectors. His teaching approach is grounded in a simple conviction: machine learning is too important to leave to specialists. Every domain expert should be able to ask questions of their data directly, without needing to hand off to a technical team and wait for answers.

Juan lives in Austin, Texas, where he continues to develop learning materials, consult on data strategy, and mentor newcomers to the field. He believes the best machine learning projects start not with algorithms but with curiosity, and he writes to make that curiosity productive. *Machine Learning Foundations* is his first book.