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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, 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 evaluationUnderstand Oracle offerings for machine learningDevelop machine learning with Oracle database using the built-in machine learning packagesDevelop and deploy machine learning models using OML4SQL and OML4RLeverage the Oracle Autonomous Database and its collaborative environment for Oracle Machine LearningDevelop and deploy machine learning projects in Oracle Autonomous DatabaseBuild an automated pipeline that can detect and handle changes in data/model performance
Who 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
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 evaluationUnderstand Oracle offerings for machine learningDevelop machine learning with Oracle database using the built-in machine learning packagesDevelop and deploy machine learning models using OML4SQL and OML4RLeverage the Oracle Autonomous Database and its collaborative environment for Oracle Machine LearningDevelop and deploy machine learning projects in Oracle Autonomous DatabaseBuild an automated pipeline that can detect and handle changes in data/model performance
Who 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
379 pages, Kindle Edition
Published June 11, 2021
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June 27, 2024
Oracle Machine Learning: Implementing and Automating with OML provides a comprehensive guide for database developers and administrators to deploy machine learning models within Oracle Database and Oracle Autonomous Database. Covering technologies like OML4SQL, OML Notebooks, OML4R, and OML4Py, this book offers practical examples and detailed discussions. It highlights Oracle's machine learning offerings, model building, and evaluation. Ideal for professionals seeking to integrate machine learning into their workflows, the book also addresses automation pipelines and conceptual understanding of various machine learning methods and algorithms
Displaying 1 of 1 review