Pattern Recognition Primer
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Beschreibung
This textbook provides semester-length coverage of pattern recognition/classification, accessible to everyone who would like to understand how pattern recognition and machine learning works. It explores the most commonly used classification methods in an intelligible way. Unlike other books available for this course, this one explains from top to bottom each method with all needed details. Every method described is explained with examples in Python. The presentation is designed to be highly accessible to students from a variety of disciplines, with no experience in machine learning. Each chapter contains easy to understand code samples, as well as exercises to consolidate and test knowledge.
This textbook provides semester-length coverage of pattern recognition/classification, accessible to everyone who would like to understand how pattern recognition and machine learning works. It explores the most commonly used classification methods in an intelligible way. Unlike other books available for this course, this one explains from top to bottom each method with all needed details. Every method described is explained with examples in Python. The presentation is designed to be highly accessible to students from a variety of disciplines, with no experience in machine learning. Each chapter contains easy to understand code samples, as well as exercises to consolidate and test knowledge.
Provides semester-length textbook for students in pattern recognition/classification Presents each method in an easy to understand manner, by comparing various examples and also providing ready to use examples, written in Python Includes exercises for each chapter as well as solutions to selected exercises and source code for examples
Autor*in
Karol Przystalski
Themen in »Pattern Recognition Primer«
Pattern Classification Pattern Recognition Textbook Pattern Recognition and Artificial Intelligence Pattern Recognition and Image Pattern Recognition and Machine Learning Preprocessing Statistical Pattern Recognition