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Pattern Recognition Primer

By Karol Przystalski

Pattern Recognition Primer Computer Science

Pattern Recognition Primer

By Karol Przystalski

0 - Default Title
Description
 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.  
Product details
Number of Pages:
288
Release Date:
2025-08-31
Publication Date:
2025-08-31
Publisher:
Springer
Languages:
Original: English
ISBN10:
3031918150
ISBN13:
9783031918155
GPSR Manufacturer Reference:
[email protected]
Weight:
598 g
Height:
160 cm
Width:
241 cm
Thickness:
22 cm
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