Machine Learning for Oracle Database Professionals
Kai Yu, Jean Yu, Heli Helskyaho, et al.
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Naturwissenschaften, Medizin, Informatik, Technik / Informatik
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.
- 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
Kundenbewertungen
Model Performance Monitoring, Python, PL/SQL, Data Science, R, TensorFlow Data Validation, TensorFlow Extended, Model Creation, Data Monitoring, Machine Learning Models, Machine Learning Automated Pipelines, Oracle Autonomous Data Warehouse (ADW), Oracle Autonomous Database, Jupyter Notebooks, Model Registry, SQL Notebooks, Machine Learning, Delivery and Automation Pipelines, Oracle Database