Pattern Recognition Primer – New Textbook Published by Springer

"Pattern Recognition Primer” (Springer) is an accessible introduction to pattern recognition and classification with practical Python examples. The book is co‑authored by Sano researcher Jan K. Argasiński, alongside Karol Przystalski, Maciej J. Ogorzałek, and Wiesław Chmielnicki.

A Collaborative Achievement

We are very happy to share that the new book “Pattern Recognition Primer“, co-authored by Jan K. Argasiński (Sano), Karol Przystalski, Maciej J. Ogorzałek, and Wiesław Chmielnicki, has just been published by Springer.

Accessible Introduction to Pattern Recognition

This textbook offers a semester-length introduction to the field of pattern recognition and classification, designed to be accessible for everyone curious about how pattern recognition and machine learning work. Unlike many other books, it provides a top-to-bottom explanation of the most widely used classification methods, with all the details needed to really understand them.

Step-by-Step Explanations With Python

Each method is presented step by step, always illustrated with practical Python examples. The book is particularly student-friendly: no prior knowledge of machine learning is required, and each chapter includes clearly written code samples and exercises to help consolidate and test understanding.

Supporting Students Across Disciplines

We hope this book will become a useful companion for students from different disciplines who want to get up to speed with today’s most important pattern recognition methods.