Kai Yu – författare
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All four authors are experienced RAC engineers with a wealth of hard-won experience encountering and surmounting the challenges of running a RAC environment that delivers on its promise. In Expert Oracle RAC 12c they provide you a framework in which to avoid repeating their hard-won lessons. Their goal is for you to manage your own RAC environment with ease and expertise.
Provides a deep conceptual understanding of RAC Provides best practices to implement RAC properly and match application workload Enables readers to troubleshoot RAC with ease669 kr
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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 LearnUse 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 setIntelligence Science and Big Data Engineering
8th International Conference, IScIDE 2018, Lanzhou, China, August 18–19, 2018, Revised Selected Papers
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Diversification to a degree
An exploratory study of students’ experience at four higher education institutions in China
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This book provides readers a comprehensive overview of the role of female higher education administrators in China. On the basis of more than 7,500 collected CVs, it compares and discusses different groups of female university administrators in China.
The study found that the number of female university administrators in China is far lower than that for their male counterparts with a majority serving as deputies to more senior leaders. Female administrators have more political responsibilities, which are important in China, than administrative responsibilities.
Using logistic regression models, the authors analyse and discuss factors that have negative impacts on the career paths of female administrators. Furthermore, by examining their biographies, the authors give suggestions on characteristics that helped these female administrators succeed.
The book is intended for researchers and students who are interested in higher education in China. More specially, itwill benefit those readers who are interested in the topics of gender equality in China’s higher education administration and the role of female administrators in higher education. Additionally, the information provided here could help policymakers and university administrators, in China and around the world, to make more informed decisions.
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