logo
0
Product categories

EbookNice.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link.  https://ebooknice.com/page/post?id=faq


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookNice Team

Pattern Recognition Primer by Karol Przystalski, Maciej J. Ogorzałek, Jan K. Argasiński ISBN 9783031918155, 3031918150 instant download

  • SKU: EBN-239922694
Zoomable Image
$ 32 $ 40 (-20%)

Status:

Available

0.0

0 reviews
Instant download (eBook) Pattern Recognition Primer after payment.
Authors:Karol Przystalski, Maciej J. Ogorzałek, Jan K. Argasiński
Pages:287 pages
Year:2025
Publisher:Springer
Language:english
File Size:9.77 MB
Format:pdf
ISBNS:9783031918155, 3031918150
Categories: Ebooks

Product desciption

Pattern Recognition Primer by Karol Przystalski, Maciej J. Ogorzałek, Jan K. Argasiński ISBN 9783031918155, 3031918150 instant download

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.
*Free conversion of into popular formats such as PDF, DOCX, DOC, AZW, EPUB, and MOBI after payment.

Related Products