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| 001 | 9781003107026 | ||
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| 008 | 210920s2022 flu ob 001 0 eng | ||
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_aOCoLC-P _beng _erda _cOCoLC-P |
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| 020 |
_a9781003107026 _q(ebook) |
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| 020 | _a1003107028 | ||
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_a9781000487794 _q(electronic bk. : PDF) |
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| 020 |
_z9780367618902 _q(hardback) |
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| 020 |
_z9780367618926 _q(paperback) |
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| 035 | _a(OCoLC)1269093961 | ||
| 035 | _a(OCoLC-P)1269093961 | ||
| 050 | 0 | 0 | _aQ325.5 |
| 072 | 7 |
_aTEC _x067000 _2bisacsh |
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_aTJK _2bicssc |
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_a006.3/1 _223 |
| 245 | 0 | 0 |
_aMachine learning espousal in signal processing : _bapplications, challenges and road ahead / _cedited by Sudeep Tanwar, Anand Nayyar, Rudra Rameshwar. |
| 250 | _aFirst edition. | ||
| 264 | 1 |
_aBoca Raton : _bChapman & Hall/CRC Press, _c2022. |
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| 300 | _a1 online 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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| 520 |
_a"Machine Learning in Signal Processing: Applications, Challenges and Road Ahead offers a comprehensive approach towards research orientation for familiarising 'signal processing (SP)' concepts to machine learning (ML). Machine Learning (ML), as the driving force of the wave of Artificial Intelligence (AI), provides powerful solutions to many real-world technical and scientific challenges. This book will present the most recent and exciting advances in signal processing for Machine Learning (ML). The focus is on understanding the contributions of signal processing and ML and its aim to solve some of the Artificial Intelligence (AI) and Machine Learning (ML) challenges"-- _cProvided by publisher. |
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| 588 | _aOCLC-licensed vendor bibliographic record. | ||
| 650 | 0 | _aMachine learning. | |
| 650 | 0 | _aSignal processing. | |
| 650 | 7 |
_aCOMPUTERS / Machine Theory _2bisacsh |
|
| 700 | 1 |
_aTanwar, Sudeep, _eeditor. |
|
| 700 | 1 |
_aNayyar, Anand, _eeditor. |
|
| 700 | 1 |
_aRameshwar, Rudra, _eeditor. |
|
| 856 | 4 | 0 |
_3Taylor & Francis _uhttps://www.taylorfrancis.com/books/9781003107026 |
| 856 | 4 | 2 |
_3OCLC metadata license agreement _uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf |
| 999 |
_c4795 _d4795 |
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