|
所在平台: Udemy |
课程主页: https://www.udemy.com/course/how-to-deploy-machine-learning-models-on-aws-using-sagemaker/
课程评论：没有评论
课程名称：如何在AWS上使用Sagemaker部署机器学习模型 课程概述：本课程将提供一个实用的AWS Sagemaker机器学习部署体验。课程开始时，您将学习如何将模型简单地部署到端点。到课程结束时，您将能够进行超参数调优、使用默认模型监控等功能。无需担心您是否具有Sagemaker的经验，我将深入教授各种算法的使用，以及Sagemaker的许多其他功能，包括处理作业和数据捕获配置等。 我们将使用Sagemaker在AWS云上覆盖监督学习和无监督学习的内容，并在一个模块中部署自然语言处理模型。我还将向您展示如何从端点获取预测以及如何评估已部署的机器学习模型。此外，我们将解决许多人在开始使用Sagemaker时遇到的常见问题。您将从几乎没有经验成长为在AWS上自信地部署Sagemaker模型的能力。因此，即使您没有Sagemaker的任何经验，也无需担心。所需的仅是中级水平的Python和机器学习知识，对于AWS Sagemaker或AWS的知识要求很少或没有。 课程中会有测验，但只要您认真听讲并正确完成作业，就不会有任何问题。此外，您还将了解将模型投入生产所需的后续步骤。虽然本课程涉及医学中的人工智能，但完成作业并不需要任何先前知识。最重要的是，享受学习的乐趣！
This course is very hands on Machine Learning with AWS Sagemaker. When you first start this course you will learn how to simply deploy an model to an endpoint. By the end of this course you will be able to hyperparameter tune, use a default model monitor, and more. Do not worry about having experience with Sagemaker I will teach you in depth how to use various the algorithms. As well as many other features on Sagemaker including processing jobs and data capture configuration as well as many more. We will cover both Supervised Learning and Unsupervised Learning on AWS Cloud with Sagemaker. Also one module where we deploy a natural language processing model using Sagemaker. I will also show you how to get predictions from end points and evaluate your machine learning models that are deployed. We will also address many common issues people have getting started with Sagemaker. You will grow from little or no experience to very confident in your new ability to deploy Sagemaker models on AWS. So do not worry if you even have no experience with Sagemaker. The only thing that is required is Intermediate level python and machine learning. With very little to no knowledge of AWS Sagemaker or even AWS in general. There are quizzes in my course. But as long as you pay attention and do the assignments properly you will not have a problem with them at all. You will also learn knowledge of the next steps you will need to do for full production. Yes this course does include AI in medicine however no previous knowledge is necessary to complete the assignments. Also most importantly have fun learning.
