ML From Scratch – free online textbook
ML From Scratch – free online textbook launched on August 31, 2020 with 259 votes, #62 of 3,833 launches that month and more than 95% of that year's launches. The site was still online in September 2026, 6 years on.
In plain words
ML From Scratch is a free online textbook covering machine learning fundamentals. It explains core concepts and algorithms from first principles, making it accessible to learners building foundational knowledge in the field. The resource is suited for students and practitioners who want to understand how machine learning works without requiring extensive prerequisites. The textbook combines theory with practical explanations to demystify the subject matter.
written from the facts on this page · September 2026
From the sources
This book covers the building blocks of the most common methods in machine learning. This set of methods is like a toolbox for machine learning engineers. Those entering the field of machine learning should feel comfortable with this toolbox so they have the right tool for a variety of tasks. Each chapter in this book corresponds to a single machine learning method or group of methods. In other words, each chapter focuses on a single tool within the ML toolbox. In my experience, the best way to become comfortable with these methods is to see them derived from scratch, both in theory and in code. The purpose of this book is to provide those derivations. Each chapter is broken into three…from dafriedman97.github.io
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