Machine learning is no longer the exclusive domain of data scientists and engineers. It is reshaping every industry, from healthcare to marketing, finance to education. This book cuts through the hype to give you the fundamental skills that actually matter: how to think critically about data, how to ask the right questions of an AI system, how to evaluate model outputs, and how to communicate findings to non-technical stakeholders. You will learn the core concepts without drowning in math or code, discover practical frameworks for deciding when to use machine learning and when to avoid it, and build confidence in working alongside AI tools. Whether you are a manager, analyst, entrepreneur, or curious professional, this blueprint prepares you for a future where understanding machine learning is as basic as using a spreadsheet. No prior experience required. Part of The Practical AI Library.
About the author
Marcus Chen Ferro writes for The Practical AI Library.
