LEADER 02832nam 22006135 450 001 9911047804003321 005 20251020084903.0 010 $a3-031-91816-9 024 7 $a10.1007/978-3-031-91816-2 035 $a(CKB)40896532700041 035 $a(MiAaPQ)EBC32290356 035 $a(Au-PeEL)EBL32290356 035 $a(OCoLC)1537949860 035 $a(DE-He213)978-3-031-91816-2 035 $a(EXLCZ)9940896532700041 100 $a20251020d2026 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aPattern Recognition Primer /$fby Karol Przystalski, Maciej J. Ogorza?ek, Jan K. Argasi?ski, Wies?aw Chmielnicki 205 $a1st ed. 2026. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2026. 215 $a1 online resource (324 pages) 225 1 $aEngineering Series 311 08$a3-031-91815-0 327 $a A Gentle Introduction -- Classifiers based on probability theory -- Unsupervised methods -- Decision trees -- Neural networks -- Support Vector Machine -- Ensemble methods -- Deep Learning. 330 $a This textbook provides semester-length coverage of pattern recognition/classification, accessible to everyone who would like to understand how pattern recognition and machine learning works.  It explores the most commonly used classification methods in an intelligible way.  Unlike other books available for this course, this one explains from top to bottom each method with all needed details. Every method described is explained with examples in Python.  The presentation is designed to be highly accessible to students from a variety of disciplines, with no experience in machine learning.  Each chapter contains easy to understand code samples, as well as exercises to consolidate and test knowledge.  . 410 0$aEngineering Series 606 $aElectronic circuits 606 $aPattern recognition systems 606 $aComputational intelligence 606 $aElectronic Circuits and Systems 606 $aAutomated Pattern Recognition 606 $aComputational Intelligence 615 0$aElectronic circuits. 615 0$aPattern recognition systems. 615 0$aComputational intelligence. 615 14$aElectronic Circuits and Systems. 615 24$aAutomated Pattern Recognition. 615 24$aComputational Intelligence. 676 $a006.4 700 $aPrzystalski$b Karol$01798429 701 $aOgorza?ek$b Maciej J$01864416 701 $aArgasin?ski$b Jan K$01864417 701 $aChmielnicki$b Wies?aw$01864418 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911047804003321 996 $aPattern Recognition Primer$94471232 997 $aUNINA