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所在平台: Udemy |
课程主页: https://www.udemy.com/course/oracle-machine-learning-with-oracle-cloud-an-introduction/
课程评论：没有评论
课程名称：Oracle云中的机器学习导论 概述：Oracle机器学习旨在加速数据科学家创建和部署机器学习模型的过程，消除将数据移动到专用机器学习系统的需要。该课程在Oracle自主数据库上提供，即使是Oracle云的永久免费套餐，学习也变得更加简单，无需本地安装。 OML笔记本：数据科学家和开发人员通过基于Apache Zeppelin笔记本技术的易用多用户协作界面开发分析解决方案，支持在Oracle自主数据库上使用Python、SQL和PL/SQL的解释器。 OML for SQL：SQL和PL/SQL用户可利用数据库内计算进行数据准备和探索、机器学习模型的构建、评估及部署。用户可以利用可扩展的数据库内机器学习算法，并直接在SQL查询中进行预测。 OML for Python：Python用户可以通过集成良好的Python接口，利用Oracle数据库（本地和自主数据库）的性能和可扩展性进行数据探索、准备和机器学习，支持AutoML，并能立即从REST端点部署用户定义的Python功能。 OML AutoML用户界面：支持自动机器学习的无代码用户界面，使自主数据库上的强大数据库内算法对数据科学家和非专业用户更加可及，提高生产力。 课程涵盖的主题包括： - OLTP与OLAP的区别 - 编程与机器学习的比较 - 机器学习的类型 - 获取OCI访问权限 - 配置Oracle自主数据库 - Oracle机器学习概述 - 登录机器学习控制台、导航与用户创建 - Zeppelin笔记本概述 - 基于SQL的数据可视化 - 机器学习概念 - 在Oracle机器学习中使用Python - Auto ML实验的配置与执行 - 模型的部署 - OML笔记本的作业调度 祝学习愉快！
Oracle Machine Learning accelerates the creation and deployment of machine learning models for data scientists by eliminating the need to move data to dedicated machine learning systems.Its available on Oracle Autonomous Database even with Oracle Cloud - Always Free tier. This makes learning easier too without any local install.OML Notebooks:Data scientists and developers develop analytical solutions through an easy-to-use, multiuser collaborative interface based on Apache Zeppelin notebook technology, supporting interpreters for Python, SQL, and PL/SQL on Oracle Autonomous Database.OML for SQL:SQL and PL/SQL users leverage in-database computation for data preparation & exploration, machine learning model building, evaluation, and deployment. Leverage scalable in-database machine learning algorithms and make predictions directly in SQL queries.OML for Python:Python users gain the performance and scalability of Oracle Database (on premises) and Oracle Autonomous Database for data exploration, preparation, and machine learning from a well-integrated Python interface with support for AutoML and immediate deployment of user-defined Python functions from REST endpoints.OML AutoML User Interface:A no-code user interface supporting AutoML on Autonomous Database to improve both data scientist productivity and non-expert user access to powerful in-database algorithms for classification and regression.The Course has following topics of coverage:*******************************************•OLTP Vs OLAP.•Programming vs Machine Learning•Types of Machine Learning.•Getting Access to OCI.•Provisioning Oracle Autonomous Database.•Oracle Machine Learning Overview.•Logging into Machine Learning Console, Navigation & Creation of user•Overview about Zeppelin Notebook•SQL based •Data visualization. •Machine Learning.•Using Python in Oracle Machine learning.•Auto ML Experiment Provisioning & Execution•Deployment of Model.•Job Schedule of OML note book.Happy Learning!!!
