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001 978-3-031-46990-9
003 DE-He213
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008 231226s2024 sz | s |||| 0|eng d
020 _a9783031469909
_9978-3-031-46990-9
024 7 _a10.1007/978-3-031-46990-9
_2doi
050 4 _aQ325.5-.7
072 7 _aUYQM
_2bicssc
072 7 _aMAT029000
_2bisacsh
072 7 _aUYQM
_2thema
100 1 _aHossain, Eklas.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_968534
245 1 0 _aMachine Learning Crash Course for Engineers
_h[electronic resource] /
_cby Eklas Hossain.
250 _a1st ed. 2024.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2024.
300 _aXX, 453 p. 170 illus., 156 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _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.
520 _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.
650 0 _aMachine learning.
_955059
650 0 _aComputational intelligence.
_964052
650 0 _aElectrical engineering.
_965586
650 0 _aSignal processing.
650 0 _aElectric power production.
_965675
650 1 4 _aMachine Learning.
_955059
650 2 4 _aComputational Intelligence.
_964052
650 2 4 _aElectrical and Electronic Engineering.
_965588
650 2 4 _aSignal, Speech and Image Processing.
650 2 4 _aElectrical Power Engineering.
_965867
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031469893
776 0 8 _iPrinted edition:
_z9783031469916
776 0 8 _iPrinted edition:
_z9783031469923
856 4 0 _uhttps://doi.org/10.1007/978-3-031-46990-9
912 _aZDB-2-ENG
912 _aZDB-2-SXE
999 _c56895
_d56895