000 | 03767nam a22005415i 4500 | ||
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001 | 978-3-030-15729-6 | ||
003 | DE-He213 | ||
005 | 20220801213637.0 | ||
007 | cr nn 008mamaa | ||
008 | 190507s2019 sz | s |||| 0|eng d | ||
020 |
_a9783030157296 _9978-3-030-15729-6 |
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024 | 7 |
_a10.1007/978-3-030-15729-6 _2doi |
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_a621.3815 _223 |
100 | 1 |
_aRebala, Gopinath. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _933404 |
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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. |
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300 |
_aXXII, 263 p. 83 illus., 77 illus. in color. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
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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 |
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650 | 0 |
_aArtificial intelligence. _93407 |
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650 | 0 |
_aComputational intelligence. _97716 |
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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 |
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700 | 1 |
_aChuriwala, Sanjay. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _933407 |
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710 | 2 |
_aSpringerLink (Online service) _933408 |
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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 | ||
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