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001 978-3-030-15729-6
003 DE-He213
005 20220801213637.0
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008 190507s2019 sz | s |||| 0|eng d
020 _a9783030157296
_9978-3-030-15729-6
024 7 _a10.1007/978-3-030-15729-6
_2doi
050 4 _aTK7867-7867.5
072 7 _aTJFC
_2bicssc
072 7 _aTEC008010
_2bisacsh
072 7 _aTJFC
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082 0 4 _a621.3815
_223
100 1 _aRebala, Gopinath.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_933404
245 1 3 _aAn Introduction to Machine Learning
_h[electronic resource] /
_cby Gopinath Rebala, Ajay Ravi, Sanjay Churiwala.
250 _a1st ed. 2019.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2019.
300 _aXXII, 263 p. 83 illus., 77 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 -- Basics before Machine Learning -- Learning Models -- Regression -- Improving Further -- Classification -- Clustering (unsupervised Learning) -- Random Forests -- Testing the Algorithm and the Network -- Neural Network -- Reinforcement Learning -- Deep Learning -- Principal Component Analysis -- Anomaly Detection -- Recommender System -- Feature Search/Convolution -- Natural Language Processing -- Language Translation -- AlphaGo -- Data Quality -- System Improvement -- Software stack -- Hardware Implementations. .
520 _aJust like electricity, Machine Learning will revolutionize our life in many ways – some of which are not even conceivable today. This book provides a thorough conceptual understanding of Machine Learning techniques and algorithms. Many of the mathematical concepts are explained in an intuitive manner. The book starts with an overview of machine learning and the underlying Mathematical and Statistical concepts before moving onto machine learning topics. It gradually builds up the depth, covering many of the present day machine learning algorithms, ending in Deep Learning and Reinforcement Learning algorithms. The book also covers some of the popular Machine Learning applications. The material in this book is agnostic to any specific programming language or hardware so that readers can try these concepts on whichever platforms they are already familiar with. Offers a comprehensive introduction to Machine Learning, while not assuming any prior knowledge of the topic; Provides a complete overview of available techniques and algorithms in conceptual terms, covering various application domains of machine learning; Not tied to any specific software language or hardware implementation. .
650 0 _aElectronic circuits.
_919581
650 0 _aArtificial intelligence.
_93407
650 0 _aComputational intelligence.
_97716
650 1 4 _aElectronic Circuits and Systems.
_933405
650 2 4 _aArtificial Intelligence.
_93407
650 2 4 _aComputational Intelligence.
_97716
700 1 _aRavi, Ajay.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_933406
700 1 _aChuriwala, Sanjay.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_933407
710 2 _aSpringerLink (Online service)
_933408
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030157289
776 0 8 _iPrinted edition:
_z9783030157302
776 0 8 _iPrinted edition:
_z9783030157319
856 4 0 _uhttps://doi.org/10.1007/978-3-030-15729-6
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c75430
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