Welcome to Machine Learning in 100 Pages, the podcast that takes you through the essential concepts of machine learning in a concise, digestible format. Inspired by Andriy Burkov's best-selling The Hundred-Page Machine Learning Book, this podcast brings you a broad overview of machine learning theory and practice, from foundational topics like linear regression to cutting-edge methods such as deep learning and random forests.

Each episode distills key principles from the book, offering practical insights without overwhelming you with complex mathematics. Whether you're a newcomer eager to get started or a seasoned professional looking for a quick refresher, this podcast delivers clear explanations and actionable advice. With Python code examples and real-world applications, we’ll explore how to apply machine learning techniques efficiently in your own projects, while maintaining a focus on what truly matters for practitioners. Tune in to get a solid foundation in machine learning without spending years in the weeds.