LEADER 03260nam 22006375 450 001 9910799241003321 005 20231226072151.0 010 $a3-031-46990-9 024 7 $a10.1007/978-3-031-46990-9 035 $a(CKB)29468292200041 035 $a(MiAaPQ)EBC31041870 035 $a(Au-PeEL)EBL31041870 035 $a(DE-He213)978-3-031-46990-9 035 $a(EXLCZ)9929468292200041 100 $a20231226d2024 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMachine Learning Crash Course for Engineers$b[electronic resource] /$fby Eklas Hossain 205 $a1st ed. 2024. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2024. 215 $a1 online resource (465 pages) 311 08$a9783031469893 327 $aIntroduction to Machine Learning -- Evaluation Criteria and Model Selection -- Machine Learning Algorithms -- Applications of Machine Learning: Signal/Image Processing -- Applications of Machine Learning: Energy Systems -- Applications of Machine Learning: Robotics -- State of the Art of Machine Learning. 330 $aMachine Learning Crash Course for Engineers is a reader-friendly introductory guide to machine learning algorithms and techniques for students, engineers, and other busy technical professionals. The book focuses on the application aspects of machine learning, progressing from the basics to advanced topics systematically from theory to applications and worked-out Python programming examples. It offers highly illustrated, step-by-step demonstrations that allow readers to implement machine learning models to solve real-world problems. This powerful tutorial is an excellent resource for those who need to acquire a solid foundational understanding of machine learning quickly. A concise guide to the basics of algorithms, building models, and performance evaluation; Offers highly illustrated, step-by-step guidelines with Python programming examples; Provides examples and exercises related to signal and image processing, energy systems, and robotics. 606 $aMachine learning 606 $aComputational intelligence 606 $aElectrical engineering 606 $aSignal processing 606 $aElectric power production 606 $aMachine Learning 606 $aComputational Intelligence 606 $aElectrical and Electronic Engineering 606 $aSignal, Speech and Image Processing 606 $aElectrical Power Engineering 615 0$aMachine learning. 615 0$aComputational intelligence. 615 0$aElectrical engineering. 615 0$aSignal processing. 615 0$aElectric power production. 615 14$aMachine Learning. 615 24$aComputational Intelligence. 615 24$aElectrical and Electronic Engineering. 615 24$aSignal, Speech and Image Processing . 615 24$aElectrical Power Engineering. 676 $a006.31 700 $aHossain$b Eklas$0985365 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910799241003321 996 $aMachine Learning Crash Course for Engineers$93871390 997 $aUNINA