Machine Learning for Oracle Database Professionals: Deploying Model-Driven Applications and Automation Pipelines
暫譯: Oracle 資料庫專業人員的機器學習：部署模型驅動的應用程式和自動化管道

Helskyaho, Heli, Yu, Jean, Yu, Kai

Machine Learning for Oracle Database Professionals: Deploying Model-Driven Applications and Automation Pipelines
  • 出版商: Apress
  • 出版日期: 2021-06-12
  • 售價: $2,520
  • 貴賓價: 9.5 折 $2,394
  • 語言: 英文
  • 頁數: 287
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1484270312
  • ISBN-13: 9781484270318
  • 相關分類: Oracle、Machine Learning、資料庫

    • 海外代購書籍(需單獨結帳)

相關主題

商品描述

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 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


Who This Book Is For
Database 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

商品描述(中文翻譯)

資料庫開發人員和管理員將使用本書學習如何在 Oracle Database 和 Oracle 的 Autonomous Database 雲端服務中部署機器學習模型。本書涵蓋構成 Oracle Machine Learning (OML) 平台的技術，包括 OML4SQL、OML Notebooks、OML4R 和 OML4Py。本書專注於 Oracle Machine Learning 作為 Oracle Autonomous Database 協作環境的一部分。還涵蓋了交付和自動化管道等進階主題。

在整本書中，您將找到實用的細節和實作範例，展示如何實現機器學習並自動化機器學習的部署。對於範例的討論幫助您獲得對機器學習的概念理解。討論的重要概念包括所涉及的方法、可選擇的演算法以及過程和部署的機制。希望在成長路徑上邁向機器學習的資深資料庫專業人士將會喜歡本書，因為它幫助您提升並利用您目前對 Oracle Database 的知識，轉型為提供機器學習解決方案。

您將學到什麼


  • 使用 Oracle Machine Learning (OML) Notebooks 進行資料視覺化和機器學習模型的建立與評估

  • 了解 Oracle 提供的機器學習服務

  • 使用內建的機器學習套件在 Oracle Database 中開發機器學習

  • 使用 OML4SQL 和 OML4R 開發和部署機器學習模型

  • 利用 Oracle Autonomous Database 及其協作環境進行 Oracle Machine Learning

  • 在 Oracle Autonomous Database 中開發和部署機器學習專案

  • 建立一個自動化管道，能夠檢測和處理資料/模型性能的變化

本書適合誰
希望學習機器學習的資料庫開發人員和管理員、希望使用 Oracle Database 的內建機器學習功能集來建立模型和應用程式的開發人員，以及負責支持在 Oracle Database 上使用 Oracle Machine Learning 功能集的應用程式的管理員。

作者簡介

Heli Helskyaho is CEO for Miracle Finland Oy. She holds a master's degree in computer science from the University of Helsinki and specializes in databases. At the moment she is working on her doctoral studies, researching and teaching at the University of Helsinki. Her research areas cover big data, multi-model databases, schema discovery, and methods and tools for utilizing semi-structured data for decision making.
Heli has been working in IT since 1990. She has held several positions, but every role has included databases and database designing. She believes that understanding your data makes using the data much easier. She is an Oracle ACE Director, an Oracle Groundbreaker Ambassador, and a frequent speaker at many conferences. She is the author of several books and has been listed as one of the TOP 100 influencers in the IT sector in Finland for each year from 2015 to 2020.
Jean Yu is Senior Data Engineer/Scientist on the IBM Hybrid Cloud Management Data Science Team. Her current interests include machine learning, model performance, and model-driven application productization. She holds a master's degree in computer science from the University of Texas at San Antonio. She has more than 20 years of experience in developing, deploying, and managing software applications, as well as in leading development teams. Her recent awards include an Outstanding Technical Achievement Award for significant innovation in Cloud Brokerage Cost and Asset Management products in 2019 as well as an Outstanding Technical Achievement Award for Innovation in the Delivery of Remote Maintenance Upgrade for Tivoli Storage Manager in 2011.
Jean is a master inventor with 12 patents granted, two patent applications filed, and five plateau inventions. She has been a voting member of the IBM Invention Review Board since 2006. She has been a speaker at conferences such as North Central Oracle Apps User Group Training Day 2019 and Collaborate 2020.

Kai Yu is a Distinguished Engineer of the Dell Technical Leadership Community. He is responsible for providing technical leadership to Dell Oracle Solutions Engineering. He has over 27 years of experience in architecting and implementing various IT solutions, specializing in Oracle database, IT infrastructure, and cloud as well as business analytics and machine learning.

Kai has been a frequent speaker at various IT/Oracle conferences with over 200 presentations in more than 20 countries. He also authored 36 articles in technical journals such as IEEE Transactions on Big Data, and has co-authored the Apress book Expert Oracle RAC12c. He has been an Oracle ACE Director since 2010, and has served on the IOUG/Quest Conference committee and served as IOUG RAC SIG president and IOUG CLOUG SIG co-founder and vice president. He received the 2011 OAUG Innovator of Year award and the 2012 Oracle Excellence Award: Technologist of the Year: Cloud Architect by Oracle Magazine. He holds two master's degrees in computer science and engineering from the Huazhong University of Science and Technology and the University of Wyoming.


作者簡介(中文翻譯)

赫莉·赫爾斯基亞霍是 Miracle Finland Oy 的執行長。她擁有赫爾辛基大學的計算機科學碩士學位，專攻資料庫。目前她正在進行博士研究，並在赫爾辛基大學進行教學。她的研究領域包括大數據、多模型資料庫、架構發現，以及利用半結構化資料進行決策的方法和工具。
赫莉自1990年以來一直在資訊科技領域工作。她曾擔任多個職位，但每個角色都涉及資料庫和資料庫設計。她相信，理解資料使得使用資料變得更加容易。她是 Oracle ACE Director、Oracle Groundbreaker 大使，並且是許多會議的常客演講者。她是幾本書的作者，並在2015年至2020年期間每年都被列為芬蘭資訊科技領域的前100位影響者之一。
簡·余是 IBM 混合雲管理數據科學團隊的高級數據工程師/科學家。她目前的興趣包括機器學習、模型性能和模型驅動的應用產品化。她擁有德克薩斯州聖安東尼奧大學的計算機科學碩士學位。她在開發、部署和管理軟體應用方面擁有超過20年的經驗，並且在領導開發團隊方面也有豐富的經歷。她最近的獎項包括2019年因在雲經紀成本和資產管理產品方面的重大創新而獲得的傑出技術成就獎，以及2011年因在 Tivoli Storage Manager 的遠程維護升級交付創新而獲得的傑出技術成就獎。
簡是一位大師級發明家，擁有12項已授權專利、兩項專利申請和五項高原發明。自2006年以來，她一直是 IBM 發明審查委員會的投票成員。她曾在2019年北中部 Oracle 應用用戶組培訓日和2020年 Collaborate 等會議上發表演講。

凱·余是 Dell 技術領導社群的傑出工程師。他負責為 Dell Oracle 解決方案工程提供技術領導。他在架構和實施各種 IT 解決方案方面擁有超過27年的經驗，專注於 Oracle 資料庫、IT 基礎設施、雲端以及商業分析和機器學習。

凱在各種 IT/Oracle 會議上經常發表演講，並在20多個國家進行了超過200場演講。他還在技術期刊上發表了36篇文章，如《IEEE 大數據期刊》，並共同撰寫了 Apress 書籍 Expert Oracle RAC12c。自2010年以來，他一直是 Oracle ACE Director，並曾擔任 IOUG/Quest 會議委員會成員，擔任 IOUG RAC SIG 會長及 IOUG CLOUG SIG 的共同創辦人和副會長。他於2011年獲得 OAUG 年度創新者獎，並於2012年獲得 Oracle 雜誌頒發的卓越獎：年度技術專家：雲架構師。他擁有華中科技大學和懷俄明大學的計算機科學和工程碩士學位。


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