000 | 01683nam a22003257a 4500 | ||
---|---|---|---|
001 | sulb0077687 | ||
003 | BD-SySUS | ||
005 | 20230320135101.0 | ||
008 | 230320s2019 ii a b 001 0 eng d | ||
020 | _a9780134863860 | ||
040 |
_aYDX _beng _cYDX _erda _dNYP _dOCLCF _dIUP _dYDXIT _dGO4 _dJRZ _dOQX _dHF9 _dUKMGB _dDLC _dBD-SySUS |
||
082 | 0 | 4 |
_a004.6782 _222 _bGIP |
100 | 1 |
_aGift, Noah, _eauthor. _960874 |
|
245 | 1 | 0 |
_aPragmatic AI : _ban introduction to cloud-based machine learning / _cNoah Gift. |
264 | 1 |
_aIndia : _bPearson _c[2019] |
|
300 |
_axvii, 248 pages : _billustrations ; _c24 cm. |
||
336 |
_atext _btxt _2rdacontent |
||
337 |
_aunmediated _bn _2rdamedia |
||
338 |
_avolume _bnc _2rdacarrier |
||
490 | 1 | _aAddison-Wesley data & analytics series | |
504 | _aIncludes bibliographical references and index. | ||
505 | 0 | _aIntroduction to pragmatic AI -- AI and ML toolchain -- Spartan AI lifecycle -- Cloud AI development with Google Cloud Platform -- Cloud AI development with Amazon Web Services -- Predicting social-media influence in the NBA -- Creating an intelligent slackbot on AWS -- Finding project management insights from a GitHub organization -- Dynamically optimizing EC2 instances on AWS -- Real estate -- Production AI for user-generated content -- AI accelerators -- Deciding on cluster size. | |
650 | 0 |
_aCloud computing. _960875 |
|
650 | 0 |
_aArtificial intelligence. _960876 |
|
650 | 0 |
_aMachine learning. _960877 |
|
650 | 7 |
_aArtificial intelligence. _2fast _0(OCoLC)fst00817247 _960878 |
|
650 | 7 |
_aCloud computing. _2fast _0(OCoLC)fst01745899 _960879 |
|
650 | 7 |
_aMachine learning. _2fast _0(OCoLC)fst01004795 _960880 |
|
942 |
_2ddc _cBK |
||
999 |
_c84524 _d84524 |