| 000 | 03204cam a2200565Ki 4500 | ||
|---|---|---|---|
| 001 | 9780429342615 | ||
| 003 | FlBoTFG | ||
| 005 | 20220711212736.0 | ||
| 006 | m o d | ||
| 007 | cr cnu---unuuu | ||
| 008 | 200826s2020 flua ob 001 0 eng d | ||
| 040 |
_aOCoLC-P _beng _erda _cOCoLC-P |
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| 020 |
_a9781000767971 _qelectronic book |
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| 020 |
_a1000767973 _qelectronic book |
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| 020 |
_a9780429342615 _qelectronic book |
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| 020 |
_a0429342616 _qelectronic book |
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| 020 |
_a9781000767599 _qelectronic book |
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| 020 |
_a1000767590 _qelectronic book |
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| 020 | _z9780367359164 | ||
| 020 | _z0367359162 | ||
| 020 | _z9780367359201 | ||
| 020 | _z0367359200 | ||
| 035 |
_a(OCoLC)1190725826 _z(OCoLC)1191178580 |
||
| 035 | _a(OCoLC-P)1190725826 | ||
| 050 | 4 |
_aTK7895.E42 _bK86 2020 |
|
| 072 | 7 |
_aCOM _x037000 _2bisacsh |
|
| 072 | 7 |
_aCOM _x059000 _2bisacsh |
|
| 072 | 7 |
_aMAT _x000000 _2bisacsh |
|
| 072 | 7 |
_aTJFM _2bicssc |
|
| 082 | 0 | 4 |
_a006.22 _223 |
| 100 | 1 |
_aKumar, Neeraj _c(Computer scientist), _eauthor. _919284 |
|
| 245 | 1 | 0 |
_aMachine learning in cognitive IoT / _cby Neeraj Kumar, Aaisha Makkar. |
| 264 | 1 |
_aBoca Raton, FL : _bCRC Press, Taylor & Francis Group, _c[2020] |
|
| 300 |
_a1 online resource (xxii, 296 pages) : _billustrations |
||
| 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 | _aThis book covers the different technologies of Internet, and machine learning capabilities involved in Cognitive Internet of Things (CIoT). Machine learning is explored by covering all the technical issues and various models used for data analytics during decision making at different steps. It initiates with IoT basics, its history, architecture and applications followed by capabilities of CIoT in real world and description of machine learning (ML) in data mining. Further, it explains various ML techniques and paradigms with different phases of data pre-processing and feature engineering. Each chapter includes sample questions to help understand concepts of ML used in different applications. Explains integration of Machine Learning in IoT for building an efficient decision support system Covers IoT, CIoT, machine learning paradigms and models Includes implementation of machine learning models in R Help the analysts and developers to work efficiently with emerging technologies such as data analytics, data processing, Big Data, Robotics Includes programming codes in Python/Matlab/R alongwith practical examples, questions and multiple choice questions | ||
| 588 | _aOCLC-licensed vendor bibliographic record. | ||
| 650 | 0 |
_aEmbedded computer systems. _97792 |
|
| 650 | 0 |
_aMachine learning. _91831 |
|
| 650 | 0 |
_aInternet of things. _94027 |
|
| 650 | 7 |
_aCOMPUTERS / Machine Theory _2bisacsh _919285 |
|
| 650 | 7 |
_aCOMPUTERS / Computer Engineering _2bisacsh _94770 |
|
| 650 | 7 |
_aMATHEMATICS / General _2bisacsh _919286 |
|
| 700 | 1 |
_aMakkar, Aaisha, _eauthor, _919287 |
|
| 856 | 4 | 0 |
_3Taylor & Francis _uhttps://www.taylorfrancis.com/books/9780429342615 |
| 856 | 4 | 2 |
_3OCLC metadata license agreement _uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf |
| 942 | _cEBK | ||
| 999 |
_c72065 _d72065 |
||