000 | 03172nam a22005175i 4500 | ||
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001 | 978-3-031-04420-5 | ||
003 | DE-He213 | ||
005 | 20240423125406.0 | ||
007 | cr nn 008mamaa | ||
008 | 220718s2022 sz | s |||| 0|eng d | ||
020 |
_a9783031044205 _9978-3-031-04420-5 |
||
024 | 7 |
_a10.1007/978-3-031-04420-5 _2doi |
|
050 | 4 | _aQ334-342 | |
050 | 4 | _aTA347.A78 | |
072 | 7 |
_aUYQ _2bicssc |
|
072 | 7 |
_aCOM004000 _2bisacsh |
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072 | 7 |
_aUYQ _2thema |
|
082 | 0 | 4 |
_a006.3 _223 |
100 | 1 |
_aFergus, Paul. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
|
245 | 1 | 0 |
_aApplied Deep Learning _h[electronic resource] : _bTools, Techniques, and Implementation / _cby Paul Fergus, Carl Chalmers. |
250 | _a1st ed. 2022. | ||
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2022. |
|
300 |
_aXXVII, 341 p. 1 illus. _bonline resource. |
||
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 |
_atext file _bPDF _2rda |
||
490 | 1 |
_aComputational Intelligence Methods and Applications, _x2510-1773 |
|
505 | 0 | _aPart 1 Introduction and Overview -- Introduction -- Part 2 Foundations of Mashine Learning -- Fundamentals of Machine Learning -- Supervised Learning -- Un-Supervised Learning -- Performance Evaluation Metrics -- Part 3 Deep Learning Concepts and Techniques -- Introduction to Deep Learning -- Image Classification and Object Detection -- Deep Learning Techniques for Time Series Modelling -- Natural Language Processing -- Deep Generative Models -- Deep Reinforcement Learning -- Part 4 Enterprise Machine Learning -- Accelerated Machine Learning -- Deploying and Hosting Machine Learning Models -- Enterprise Machine Learning Serving. . | |
520 | _aThis book focuses on the applied aspects of artificial intelligence using enterprise frameworks and technologies. The book is applied in nature and will equip the reader with the necessary skills and understanding for delivering enterprise ML technologies. It will be valuable for undergraduate and postgraduate students in subjects such as artificial intelligence and data science, and also for industrial practitioners engaged with data analytics and machine learning tasks. The book covers all of the key conceptual aspects of the field and provides a foundation for all interested parties to develop their own artificial intelligence applications. | ||
650 | 0 | _aArtificial intelligence. | |
650 | 1 | 4 | _aArtificial Intelligence. |
700 | 1 |
_aChalmers, Carl. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783031044199 |
776 | 0 | 8 |
_iPrinted edition: _z9783031044212 |
776 | 0 | 8 |
_iPrinted edition: _z9783031044229 |
830 | 0 |
_aComputational Intelligence Methods and Applications, _x2510-1773 |
|
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-031-04420-5 |
912 | _aZDB-2-SCS | ||
912 | _aZDB-2-SXCS | ||
942 | _cSPRINGER | ||
999 |
_c177420 _d177420 |