Machine learning for Oracle database professionals: deploying model-driven applications and automation pipelines
Database developers and administrators will use this book to learn how to deploy machine learning models in Oracle Database and in Oracle’s Autonomous Database cloud offering. The book covers the technologies that make up the Oracle Machine Learning (OML) platform, including OML4SQL, OML Notebooks,...
Gespeichert in:
| Hauptverfasser: | , , |
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| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
New York, NY
Apress
[2021]
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| Schlagworte: | |
| Zusammenfassung: | Database developers and administrators will use this book to learn how to deploy machine learning models in Oracle Database and in Oracle’s 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.What You Will Learn- 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 performanceWho This Book Is ForDatabase developers and administrators who want to learn about machine learning, developers who want to build models and applications using Oracle Database’s built-in machine learning feature set, and administrators tasked with supporting applications on Oracle Database that make use of the Oracle Machine Learning feature set |
| Beschreibung: | Database developers and administrators will use this book to learn how to deploy machine learning models in Oracle Database and in Oracle’s 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 1. Introduction to Machine Learning 2. Oracle and Machine Learning3: Oracle Machine Learning for SQL4. Oracle Autonomous Database for Machine Learning5. Running Oracle Machine Learning with Autonomous Database6: Building Machine Learning Models with OML Notebooks7. Oracle Analytics Cloud8. Delivery and Automation Pipeline in Machine Learning9. ML Deployment Pipeline Using Oracle Machine Learning10. Building Reproducible ML Pipelines Using Oracle Machine Learning |
| Beschreibung: | xvi, 289 Seiten Illustrationen 585 grams |
| ISBN: | 9781484270318 |
Internformat
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| 500 | |a Database developers and administrators will use this book to learn how to deploy machine learning models in Oracle Database and in Oracle’s 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 | ||
| 500 | |a 1. Introduction to Machine Learning 2. Oracle and Machine Learning3: Oracle Machine Learning for SQL4. Oracle Autonomous Database for Machine Learning5. Running Oracle Machine Learning with Autonomous Database6: Building Machine Learning Models with OML Notebooks7. Oracle Analytics Cloud8. Delivery and Automation Pipeline in Machine Learning9. ML Deployment Pipeline Using Oracle Machine Learning10. Building Reproducible ML Pipelines Using Oracle Machine Learning | ||
| 520 | |a Database developers and administrators will use this book to learn how to deploy machine learning models in Oracle Database and in Oracle’s 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. | ||
| 520 | |a 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.What You Will Learn- 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 performanceWho This Book Is ForDatabase developers and administrators who want to learn about machine learning, | ||
| 520 | |a developers who want to build models and applications using Oracle Database’s built-in machine learning feature set, and administrators tasked with supporting applications on Oracle Database that make use of the Oracle Machine Learning feature set | ||
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Datensatz im Suchindex
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| author_variant | h h hh j y jy k y ky |
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| bvnumber | BV047382822 |
| ctrlnum | (OCoLC)1264268727 (DE-599)BVBBV047382822 |
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| id | DE-604.BV047382822 |
| illustrated | Illustrated |
| index_date | 2024-07-03T17:48:05Z |
| indexdate | 2024-07-10T09:10:35Z |
| institution | BVB |
| isbn | 9781484270318 |
| language | English |
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| oclc_num | 1264268727 |
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| owner_facet | DE-29T |
| physical | xvi, 289 Seiten Illustrationen 585 grams |
| publishDate | 2021 |
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| publisher | Apress |
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| spelling | Helskyaho, Heli Verfasser aut Machine learning for Oracle database professionals deploying model-driven applications and automation pipelines Heli Helskyaho, Jean Yu, Kai Yu New York, NY Apress [2021] xvi, 289 Seiten Illustrationen 585 grams txt rdacontent n rdamedia nc rdacarrier Database developers and administrators will use this book to learn how to deploy machine learning models in Oracle Database and in Oracle’s 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 1. Introduction to Machine Learning 2. Oracle and Machine Learning3: Oracle Machine Learning for SQL4. Oracle Autonomous Database for Machine Learning5. Running Oracle Machine Learning with Autonomous Database6: Building Machine Learning Models with OML Notebooks7. Oracle Analytics Cloud8. Delivery and Automation Pipeline in Machine Learning9. ML Deployment Pipeline Using Oracle Machine Learning10. Building Reproducible ML Pipelines Using Oracle Machine Learning Database developers and administrators will use this book to learn how to deploy machine learning models in Oracle Database and in Oracle’s 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.What You Will Learn- 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 performanceWho This Book Is ForDatabase developers and administrators who want to learn about machine learning, developers who want to build models and applications using Oracle Database’s built-in machine learning feature set, and administrators tasked with supporting applications on Oracle Database that make use of the Oracle Machine Learning feature set bicssc bisacsh Database management Machine learning Computer science Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf Datenbankverwaltung (DE-588)4389357-0 gnd rswk-swf ORACLE Datenbanksystem (DE-588)4206222-6 gnd rswk-swf Hardcover, Softcover / Informatik, EDV/Informatik ORACLE Datenbanksystem (DE-588)4206222-6 s Datenbankverwaltung (DE-588)4389357-0 s Maschinelles Lernen (DE-588)4193754-5 s DE-604 Yu, Jean Verfasser aut Yu, Kai 1976- Verfasser (DE-588)129407763 aut Erscheint auch als Online-Ausgabe 978-1-4842-7032-5 |
| spellingShingle | Helskyaho, Heli Yu, Jean Yu, Kai 1976- Machine learning for Oracle database professionals deploying model-driven applications and automation pipelines bicssc bisacsh Database management Machine learning Computer science Maschinelles Lernen (DE-588)4193754-5 gnd Datenbankverwaltung (DE-588)4389357-0 gnd ORACLE Datenbanksystem (DE-588)4206222-6 gnd |
| subject_GND | (DE-588)4193754-5 (DE-588)4389357-0 (DE-588)4206222-6 |
| title | Machine learning for Oracle database professionals deploying model-driven applications and automation pipelines |
| title_auth | Machine learning for Oracle database professionals deploying model-driven applications and automation pipelines |
| title_exact_search | Machine learning for Oracle database professionals deploying model-driven applications and automation pipelines |
| title_exact_search_txtP | Machine learning for Oracle database professionals deploying model-driven applications and automation pipelines |
| title_full | Machine learning for Oracle database professionals deploying model-driven applications and automation pipelines Heli Helskyaho, Jean Yu, Kai Yu |
| title_fullStr | Machine learning for Oracle database professionals deploying model-driven applications and automation pipelines Heli Helskyaho, Jean Yu, Kai Yu |
| title_full_unstemmed | Machine learning for Oracle database professionals deploying model-driven applications and automation pipelines Heli Helskyaho, Jean Yu, Kai Yu |
| title_short | Machine learning for Oracle database professionals |
| title_sort | machine learning for oracle database professionals deploying model driven applications and automation pipelines |
| title_sub | deploying model-driven applications and automation pipelines |
| topic | bicssc bisacsh Database management Machine learning Computer science Maschinelles Lernen (DE-588)4193754-5 gnd Datenbankverwaltung (DE-588)4389357-0 gnd ORACLE Datenbanksystem (DE-588)4206222-6 gnd |
| topic_facet | bicssc bisacsh Database management Machine learning Computer science Maschinelles Lernen Datenbankverwaltung ORACLE Datenbanksystem |
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