LEADER 00000cam a2200589 i 4500 
003    OCoLC 
005    20240129213017.0 
006    m     o  d         
007    cr cnu---unuuu 
008    200202s2019    enka    o     000 0 eng d 
019    1122923326 
020    9781789534146|q(paperback) 
020    1789534143|q(paperback) 
020    9781789531473|q(electronic bk.) 
020    1789531470|q(electronic bk.) 
029 1  AU@|b000071378035 
035    (OCoLC)1138742279|z(OCoLC)1122923326 
037    C4C0C653-AFDA-4036-8850-7B1DD0B553E4|bOverDrive, Inc.
       |nhttp://www.overdrive.com 
040    SIITE|beng|erda|cSIITE|dOCLCF|dNZTOI|dOCLCQ|dEBLCP|dTEFOD
       |dUKAHL|dN$T|dOCLCO|dNLW|dOCLCO|dK6U|dOCLCQ|dOCLCO 
049    INap 
082 04 006.31 
082 04 006.31|223 
099    eBook O'Reilly for Public Libraries 
100 1  Tripuraneni, Subhashini,|eauthor 
245 10 Hands-on artificial intelligence on Amazon Web Services :
       |bdecrease the time to market for AI and ML applications 
       with the power of AWS /|cSubhashini Tripuraneni ; Charles 
       Song|h[O'Reilly electronic resource] 
264  1 Birmingham :|bPackt Publishing, Limited,|c2019 
300    1 online resource (vi, 412 pages) :|bblack and white 
       illustrations 
336    text|btxt|2rdacontent 
337    unmediated|bn|2rdamedia 
338    volume|bnc|2rdacarrier 
505 0  Section 1: Introduction and anatomy of a modern AI -- 
       Chapter 1: Introduction to artificial intelligence on 
       Amazon Web Services -- Chapter 2: Anatomy of a modern AI 
       application -- Section 2: Building applications with AWS 
       AI -- Chapter 3: Detecting and translating text with 
       Amazon Rekognition -- Chapter 4: Performing speech-to-text
       and vice versa with Amazon transcribe and Polly -- Chapter
       5: Extracting information from text with Amazon comprehend
       -- Chapter 6: Building a voice chatbot with Amazon Lex -- 
       Section 3: Training machine learning models with Amazon 
       SageMaker -- Chapter 7: Working with Amazon Sagemaker -- 
       Chapter 8 : Creating machine learning inference pipelines 
       -- Chapter 9 : Discovering topics in text collection -- 
       Chapter 10: Classifying images using Amazon Sagemaker -- 
       Chapter 11: Sales forecasting with Deep Learning and Auto 
       Regression -- Section 4: Machine learning model monitoring
       and governance -- Chapter 12: Model accuracy degradation 
       and feedback loops. 
520    AI in AWS covers primarily two broad topics - a) how to 
       leverage readily available AI/ML APIs and b) how to build,
       train and deploy ML models from scratch, to solve diverse 
       business problems, such as demand forecasting, image 
       classification, topic modeling, speech and text 
       recognition. 
590    O'Reilly|bO'Reilly Online Learning: Academic/Public 
       Library Edition 
610 20 Amazon Web Services (Firm) 
610 27 Amazon Web Services (Firm)|2fast 
650  0 Machine learning. 
650  6 Apprentissage automatique. 
650  7 Distributed systems.|2bicssc 
650  7 Mathematical theory of computation.|2bicssc 
650  7 Machine learning.|2bicssc 
650  7 Artificial intelligence.|2bicssc 
650  7 Machine learning|2fast 
700 1  Song, Charles,|eauthor 
776 08 |iPrint version:|aTripuraneni, Subhashini.|tHands-On 
       Artificial Intelligence on Amazon Web Services : Decrease 
       the Time to Market for AI and ML Applications with the 
       Power of AWS.|dBirmingham : Packt Publishing, Limited, 
       ©2019|z9781789534146 
856 40 |uhttps://ezproxy.naperville-lib.org/login?url=https://
       learning.oreilly.com/library/view/~/9781789534146/?ar
       |zAvailable on O'Reilly for Public Libraries 
938    Askews and Holts Library Services|bASKH|nAH36752038 
938    ProQuest Ebook Central|bEBLB|nEBL5928313 
938    EBSCOhost|bEBSC|n2267636 
994    92|bJFN