|
所在平台: Udemy |
课程主页: https://www.udemy.com/course/machine-learning-on-aws-sagemaker-for-beginners/
课程评论：没有评论
课程名称：AWS SageMaker上的机器学习入门 概述：本课程专为初学者设计，旨在结合使用亚马逊AWS云服务学习机器学习概念。课程内容包括云计算的基础知识和机器学习的基本概念，并包含实际操作的实验室练习，涵盖在SageMaker上运行项目的基本要求。课程包括五个不同的机器学习算法项目，帮助学生理解机器学习的概念，以及如何在AWS SageMaker环境中运行这些项目。课程中的项目包括： 1. 泰坦尼克号生存预测 2. 波士顿房价预测 3. 使用主成分分析（PCA）进行人口细分 4. 使用K均值聚类进行人口细分 5. 手写数字分类（MNIST数据集） 如今，数据科学和机器学习在几乎所有行业中都得到了应用，包括汽车、银行、医疗、媒体、电信等。亚马逊SageMaker帮助数据科学家和开发人员快速准备、构建、训练和部署高质量的机器学习模型。SageMaker是一个完全托管的服务，为每位开发者和数据科学家提供快速准备、构建、训练和部署机器学习模型的能力。SageMaker简化了机器学习流程中的每个步骤，使开发高质量模型变得更容易。它提供了一整套用于机器学习的工具，使模型更快地进入生产阶段，且付出更少的努力和成本。 期待您报名参加本课程，学习AWS SageMaker平台上的机器学习。祝您好运！
This course is designed for the students who are at their initial stage or at the beginner level in learning the Machine Learning concepts integrated with cloud computing using the Amazon AWS Cloud Services.This course focuses on what cloud computing is, followed by some essential concepts of Machine Learning. It also has practical hands-on lab exercises which covers a major portion of setting up the basic requirements to run projects on SageMakerThis course covers five (5) projects of different machine learning algorithms to help students learn about the concepts of ML and how they can run such projects in the AWS SageMaker environment. Below is list of projects that are covered in this course:1- Titanic Survival Prediction2- Boston House Price Prediction3- Population Segmentation using Principal Component Analysis (PCA)4- Population Segmentation using KMeans Clustering5- Handwritten Digit Classification (MNIST Dataset)Today Data Science and Machine Learning is used in almost all the industries, including automobile, banking, healthcare, media, telecom and others.Amazon SageMaker helps data scientists and developers to prepare, build, train, and deploy high-quality machine learning (ML) models quickly by bringing together a broad set of capabilities purpose-built for ML.Amazon SageMaker is a fully managed service that provides every developer and data scientist with the ability to prepare build, train, and deploy machine learning (ML) models quickly. SageMaker removes the heavy lifting from each step of the machine learning process to make it easier to develop high quality models. SageMaker provides all of the components used for machine learning in a single toolset so models get to production faster with much less effort and at lower cost.Look forward to see you enroll in this class to learn Machine Learning in AWS SageMaker platform. Best of luck!
