001437390 000__ 04329cam\a2200565\i\4500
001437390 001__ 1437390
001437390 003__ OCoLC
001437390 005__ 20230309004145.0
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001437390 019__ $$a1262378972
001437390 020__ $$a9781484270325$$q(electronic bk.)
001437390 020__ $$a1484270320$$q(electronic bk.)
001437390 020__ $$z9781484270318
001437390 020__ $$z1484270312
001437390 0247_ $$a10.1007/978-1-4842-7032-5$$2doi
001437390 035__ $$aSP(OCoLC)1256627333
001437390 040__ $$aYDX$$beng$$erda$$epn$$cYDX$$dGW5XE$$dOCLCO$$dEBLCP$$dSFB$$dOCLCF$$dUKAHL$$dOCLCQ$$dCOM$$dOCLCO$$dOCLCQ
001437390 049__ $$aISEA
001437390 050_4 $$aQ325.5$$b.H45 2021
001437390 08204 $$a006.3/1$$223
001437390 1001_ $$aHelshyaho, Heli,$$eauthor.
001437390 24510 $$aMachine learning for Oracle database professionals :$$bdeploying model-driven applications and automation pipelines /$$cHeli Helskyaho, Jean Yu, Kai Yu.
001437390 264_1 $$a[Berkeley] :$$bApress,$$c[2021]
001437390 264_4 $$c©2021
001437390 300__ $$a1 online resource :$$billustrations
001437390 336__ $$atext$$btxt$$2rdacontent
001437390 337__ $$acomputer$$bc$$2rdamedia
001437390 338__ $$aonline resource$$bcr$$2rdacarrier
001437390 500__ $$aIncludes index.
001437390 5050_ $$a1. Introduction to Machine Learning -- 2. Oracle and Machine Learning -- 3: Oracle Machine Learning for SQL -- 4. Oracle Autonomous Database for Machine Learning -- 5. Running Oracle Machine Learning with Autonomous Database -- 6. Building Machine Learning Models with OML Notebooks -- 7. Oracle Analytics Cloud -- 8. Delivery and Automation Pipeline in Machine Learning -- 9. ML Deployment Pipeline Using Oracle Machine Learning -- 10. Building Reproducible ML Pipelines Using Oracle Machine Learning.
001437390 506__ $$aAccess limited to authorized users.
001437390 520__ $$aDatabase developers and administrators will use this book to learn how to deploy machine learning models in Oracle Database and in Oracles Autonomous Database cloud offering. The book covers the technologies that make up the Oracle Machine Learning (OML) platform, including OML4SQL, OML Notebooks, OML4R, and OML4Py. The book focuses on Oracle Machine Learning as part of the Oracle Autonomous Database collaborative environment. Also covered are advanced topics such as delivery and automation pipelines. Throughout the book you will find practical details and hand-on examples showing you how to implement machine learning and automate deployment of machine learning. Discussion around the examples helps you gain a conceptual understanding of machine learning. Important concepts discussed include the methods involved, the algorithms to choose from, and mechanisms for process and deployment. Seasoned database professionals looking to make the leap into machine learning as a growth path will find much to like in this book as it helps you step up and use your current knowledge of Oracle Database to transition into providing machine learning solutions. You will: Use the Oracle Machine Learning (OML) Notebooks for data visualization and machine learning model building and evaluation Understand Oracle offerings for machine learning Develop machine learning with Oracle database using the built-in machine learning packages Develop and deploy machine learning models using OML4SQL and OML4R Leverage the Oracle Autonomous Database and its collaborative environment for Oracle Machine Learning Develop and deploy machine learning projects in Oracle Autonomous Database Build an automated pipeline that can detect and handle changes in data/model performance.
001437390 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed June 17, 2021).
001437390 63000 $$aOracle (Computer file)
001437390 650_0 $$aMachine learning.
001437390 650_0 $$aDatabase management.
001437390 650_6 $$aApprentissage automatique.
001437390 650_6 $$aBases de données$$xGestion.
001437390 655_0 $$aElectronic books.
001437390 7001_ $$aYu, Jean,$$eauthor.
001437390 7001_ $$aYu, Kai,$$eauthor.
001437390 77608 $$iPrint version:$$aHELSKYAHO, HELI. YU, JEAN. YU, KAI.$$tMACHINE LEARNING FOR ORACLE DATABASE PROFESSIONALS.$$d[S.l.] : APRESS, 2021$$z1484270312$$w(OCoLC)1240491704
001437390 852__ $$bebk
001437390 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-1-4842-7032-5$$zOnline Access$$91397441.1
001437390 909CO $$ooai:library.usi.edu:1437390$$pGLOBAL_SET
001437390 980__ $$aBIB
001437390 980__ $$aEBOOK
001437390 982__ $$aEbook
001437390 983__ $$aOnline
001437390 994__ $$a92$$bISE