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Titlebook: Machine Learning for Oracle Database Professionals; Deploying Model-Driv Heli Helskyaho,Jean Yu,Kai Yu Book 2021 Heli Helskyaho, Jean Yu, K

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發(fā)表于 2025-3-21 19:39:13 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Machine Learning for Oracle Database Professionals
副標(biāo)題Deploying Model-Driv
編輯Heli Helskyaho,Jean Yu,Kai Yu
視頻videohttp://file.papertrans.cn/621/620647/620647.mp4
概述Introduces Oracle Database’s built-in support for machine learning.Helps Oracle developers and DBAs make the transition to building machine learning solutions.Provides practical examples of machine le
圖書封面Titlebook: Machine Learning for Oracle Database Professionals; Deploying Model-Driv Heli Helskyaho,Jean Yu,Kai Yu Book 2021 Heli Helskyaho, Jean Yu, K
描述.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 Ma
出版日期Book 2021
關(guān)鍵詞Machine Learning; Oracle Database; PL/SQL; Python; R; Jupyter Notebooks; Oracle Autonomous Database; Oracle
版次1
doihttps://doi.org/10.1007/978-1-4842-7032-5
isbn_softcover978-1-4842-7031-8
isbn_ebook978-1-4842-7032-5
copyrightHeli Helskyaho, Jean Yu, Kai Yu 2021
The information of publication is updating

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發(fā)表于 2025-3-21 20:24:49 | 只看該作者
Oracle and Machine Learning,veral tools for machine learning. Most of these tools have been implemented to the Oracle Database kernel, allowing efficient and safe data processing. Oracle Database also makes it possible to use all its features and all the data models in a converged database, such as JSON, graph, and spatial. Yo
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發(fā)表于 2025-3-22 01:31:44 | 只看該作者
Oracle Machine Learning for SQL,ty as a cost-free option. Oracle Data Mining was rebranded to Oracle Machine Learning for SQL (OML4SQL). Oracle R Enterprise (ORE) is now Oracle Machine Learning for R (OML4R). Oracle R Advanced Analytics for Hadoop (OML4Spark).
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發(fā)表于 2025-3-22 05:36:26 | 只看該作者
Oracle Autonomous Database for Machine Learning,t benefits for machine learning projects. First, you can take advantage of various Oracle Cloud Infrastructure services such as compute, storage, and memory, as well as the Autonomous Database platform. These allow you to easily provide self-management and highly scalable machine learning developmen
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發(fā)表于 2025-3-22 11:14:36 | 只看該作者
Running Oracle Machine Learning with Autonomous Database,ser account or grant an existing database user account with the machine learning developer role. This role enables a database account user to use the OML environment and Autonomous Database for a machine learning project. Oracle Machine Learning works with both types of Oracle Autonomous Databases:
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Oracle Analytics Cloud,nd Oracle Analytics for Applications. Oracle Analytics Desktop is available for standalone data exploration and visualization on your own computer. Oracle’s vision for analytics is that it should be augmented, integrated, and collaborative. Data preparation and visualization are very important steps
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