|
所在平台: Udemy |
课程主页: https://www.udemy.com/course/applied-machine-learning-with-bigquery-on-googles-cloud/
课程评论：没有评论
**课程名称：** Applied Machine Learning with BigQuery on Google's Cloud **课程概述：** 本课程旨在教授学员如何在Google Cloud Platform (GCP) 的BigQuery上应用机器学习。在当今需求旺盛的机器学习领域，本课程将引导学员从零开始，在云端构建大规模机器学习模型。 **核心内容：** * **BigQuery ML 简介：** 了解BigQuery ML的功能和优势。 * **Google Cloud Platform (GCP) 基础（聚焦BigQuery）：** 掌握GCP平台，特别是BigQuery的相关知识。 * **应用机器学习基础：** 学习机器学习的基本概念和原理。 * **BigQuery的历史、架构及在机器学习中的应用：** 深入理解BigQuery的设计理念及其在机器学习工程中的价值。 * **在大规模数据集上构建机器学习模型：** 学习利用BigQuery构建和部署机器学习模型的实操技能。 **课程定位：** 本课程为中级水平，建议学员具备SQL和Python的基础知识，这将有助于更好地掌握课程内容。 **学习目标：** 通过本课程，学员将能够： * 熟悉并高效利用BigQuery ML。 * 掌握在GCP环境中进行机器学习开发的必要技能。 * 能够独立在大规模数据集上构建、训练和部署机器学习模型。 **强调：** 课程强调实际操作，鼓励学员动手实践，充分利用GCP的托管数据仓库服务。
Welcome to Applied Machine Learning with BigQuery on Google's Cloud.Right now, applied machine learning is one of the most in-demand career fields in the world, and will continue to be for some time. Most of applied machine learning is supervised. That means models are built against existing datasets.Most real-world machine learning models are built in the cloud or on large on-prem boxes. In the real-world, we don't built models on laptops or on desktop computers. Google Cloud Platform's BigQuery is a serverless, petabyte-scale data warehouse designed to house structured datasets and enable lightning fast SQL queries. Data scientists and machine learning engineers can easily move their large datasets to BigQuery without having to worry about scale or administration, so you can focus on the tasks that really matter - generating powerful analysis and insights.In this course, you'll:Get an introduction to BigQuery ML.Get a good introductory grounding in Google Cloud Platform, specific to BigQuery.Learn the basics of applied machine learning.Understand the history, architecture and use cases of BigQuery for machine learning engineers.Learn how to building your own machine learning models at scale using BigQuery.This is a mid-level course and basic experience with SQL and Python will help you get the most out of this course.So what are you waiting for? Get hands-on with BigQuery and harness the benefits of GCP's fully managed data warehousing service.
